Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games | Paper Citation Record

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This paper cites and Capuzzo-Dolcetta, I.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Capuzzo-Dolcetta, I

Reference 1

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Porretta, A

Reference 2

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This paper cites Mean field games: numerical methods for the planning problem.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Mean field games: numerical methods for the planning problem

Reference 3

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This paper cites Mean field games and applications: Numerical aspects.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Mean field games and applications: Numerical aspects

Reference 4

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

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This paper cites An extended mean field game for storage in smart grids.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games An extended mean field game for storage in smart grids

Reference 6

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This paper cites Regularization of the policy updates for stabilizing mean field games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Regularization of the policy updates for stabilizing mean field games

Reference 7

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This paper cites D., and Saldi, N.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games D., and Saldi, N

Reference 8

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This paper cites D., and Saldi, N.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games D., and Saldi, N

Reference 9

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This paper cites Mean-field sampling for cooperative multi-agent reinforcement learning.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Mean-field sampling for cooperative multi-agent reinforcement learning

Reference 10

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This paper cites Unified Reinforcement Q-Learning for Mean Field Game and Control Problems.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unified Reinforcement Q-Learning for Mean Field Game and Control Problems

Reference 11

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This paper cites Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems

Reference 12

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This paper cites On solutions of mean field games with ergodic cost.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games On solutions of mean field games with ergodic cost

Reference 13

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This paper cites Lipschitz continuity in model-based reinforcement learning.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Lipschitz continuity in model-based reinforcement learning

Reference 14

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This paper cites Inapproximability of np-complete variants of nash equilibrium.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Inapproximability of np-complete variants of nash equilibrium

Reference 15

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This paper cites M., Munos, R., and Kappen, H.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games M., Munos, R., and Kappen, H

Reference 16

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This paper cites and Priuli, F.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Priuli, F

Reference 17

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This paper cites A mean-field game model of electricity market dynamics.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A mean-field game model of electricity market dynamics

Reference 18

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This paper cites and Hesse, S.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Hesse, S

Reference 19

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This paper cites First-order methods in optimization.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games First-order methods in optimization

Reference 20

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This paper cites and Russo, D.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Russo, D

Reference 21

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This paper cites A., Ortega, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A., Ortega, P

Reference 22

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This paper cites The master equation and the convergence problem in mean field games:(ams-201).

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games The master equation and the convergence problem in mean field games:(ams-201)

Reference 23

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This paper cites and Lauri \`e re, M.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Lauri \`e re, M

Reference 24

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This paper cites Mean Field Games and Systemic Risk.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Mean Field Games and Systemic Risk

Reference 25

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This paper cites Probabilistic theory of mean field games with applications I-II.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Probabilistic theory of mean field games with applications I-II

Reference 26

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This paper cites Numerical method for fbsdes of mckean--vlasov type.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Numerical method for fbsdes of mckean--vlasov type

Reference 27

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 28

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This paper cites and Koeppl, H.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Koeppl, H

Reference 29

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This paper cites and Koeppl, H.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Koeppl, H

Reference 30

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This paper cites A mean field game analysis of sir dynamics with vaccination.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A mean field game analysis of sir dynamics with vaccination

Reference 31

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Touzi, N

Reference 32

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This paper cites and Silva, F.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Silva, F

Reference 33

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This paper cites N-player games and mean field games of moderate interactions.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games N-player games and mean field games of moderate interactions

Reference 34

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This paper cites Counterfactual multi-agent policy gradients.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Counterfactual multi-agent policy gradients

Reference 35

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This paper cites Convergence of adaptive and interacting markov chain monte carlo algorithms.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Convergence of adaptive and interacting markov chain monte carlo algorithms

Reference 36

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Taming the noise in reinforcement learning via soft updates

Reference 37

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A theory of regularized markov decision processes

Reference 38

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This paper cites Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint

Reference 39

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Numerical resolution of mckean-vlasov fbsdes using neural networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:42.256776Z

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Diepold, K

Reference 41

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This paper cites Learning mean-field games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Learning mean-field games

Reference 42

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Observation ccd5ec80-907a-4e95-8d0e-98e07be6c675 · outbound

This paper cites A general framework for learning mean-field games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A general framework for learning mean-field games

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:41.639343Z

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Observation e65f3309-8d85-4952-bc78-5a6fae295914 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Reinforcement learning with deep energy-based policies

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:41.336299Z

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This paper cites J., Liaw, C., Plan, Y., and Randhawa, S.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games J., Liaw, C., Plan, Y., and Randhawa, S

Reference 45

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 46

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 47

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This paper cites E., and Malham \'e , R.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games E., and Malham \'e , R

Reference 48

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This paper cites P., and Caines, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games P., and Caines, P

Reference 49

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This paper cites P., and Caines, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games P., and Caines, P

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:39.850916Z

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This paper cites P., and Caines, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games P., and Caines, P

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:39.591521Z

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This paper cites and Sha, F.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Sha, F

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:39.225351Z

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This paper cites and Langford, J.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Langford, J

Reference 53

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Observation d2cf9ab8-375c-4972-aa89-067c533187b7 · outbound

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 54

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Singh, S

Reference 55

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This paper cites A., and Peters, J.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A., and Peters, J

Reference 56

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Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Zariphopoulou, T

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:38.039128Z

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Observation 6137cd43-9af3-45e5-b098-e70a40ca2750 · outbound

This paper cites and Lions, P.-L.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Lions, P.-L

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:37.682067Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00e46286-6eca-46ee-98e3-ab074020cf14 · outbound

This paper cites and Lions, P.-L.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Lions, P.-L

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:37.358005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc7ff6ff-efdf-4703-ab72-e57f9deb2496 · outbound

This paper cites and Lions, P.-L.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Lions, P.-L

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:37.110259Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df7cf107-2d2d-46dd-ad91-acc63b4c49c2 · outbound

This paper cites Learning in Mean Field Games: A Survey.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Learning in Mean Field Games: A Survey

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:21.805809Z

Source-reported events for the cited work

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This paper cites and Tankov, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Tankov, P

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:21.939715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ef1a75-91d8-4d15-95cf-65c2afa50d05 · outbound

This paper cites G., and Castro, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games G., and Castro, P

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:36.778709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 061924ee-e8d9-42d4-a570-edba6260118a · outbound

This paper cites A mean-field game approach to cloud resource management with function approximation.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A mean-field game approach to cloud resource management with function approximation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:36.518742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4d9343c-f81b-4127-ac4e-b3612d920a9b · outbound

This paper cites I., Fern \'a ndez-Gaucherand, E., Hern \'a ndez-Hernandez, D., Coraluppi, S., and Fard, P.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games I., Fern \'a ndez-Gaucherand, E., Hern \'a ndez-Hernandez, D., Coraluppi, S., and Fard, P

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:36.242074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62b0348e-6afa-4d28-a1a0-b1e1d296efc5 · outbound

This paper cites J., and Le Fort-Piat, N.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games J., and Le Fort-Piat, N

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:35.938947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2192078-c026-4f09-9341-aeb0ddfb1cd0 · outbound

This paper cites On the global convergence rates of softmax policy gradient methods.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games On the global convergence rates of softmax policy gradient methods

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:35.674906Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 179377ee-779a-40c0-adfe-684e4f89a49c · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Asynchronous methods for deep reinforcement learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:35.407930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation deee8e41-6131-4519-83d0-0d81307edf98 · outbound

This paper cites Equilibrium points in n-person games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Equilibrium points in n-person games

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:35.017098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9459171a-5cd1-4b5f-a64c-ace63906c4e2 · outbound

This paper cites Non-cooperative games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Non-cooperative games

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:34.652398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8797b717-c186-4857-a0cb-d49e42ae35a9 · outbound

This paper cites A unified view of entropy-regularized Markov decision processes.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games A unified view of entropy-regularized Markov decision processes

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:23.087809Z

Source-reported events for the cited work

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Observation d45e711e-b08b-4bf2-b8aa-78fad369ea65 · outbound

This paper cites Combining policy gradient and q-learning.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Combining policy gradient and q-learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:34.305505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a6656f1-46f9-4cf2-a0f6-3db7528d17c0 · outbound

This paper cites Scaling mean field games by online mirror descent.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Scaling mean field games by online mirror descent

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:33.964017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d341e81a-6d43-4e45-9261-cf9318c72e8f · outbound

This paper cites Fictitious play for mean field games: C ontinuous time analysis and applications.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Fictitious play for mean field games: C ontinuous time analysis and applications

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:33.667286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9804e0d7-ba49-4ec8-b59b-1efd1be482c1 · outbound

This paper cites Mean Field Games Flock! The Reinforcement Learning Way.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Mean Field Games Flock! The Reinforcement Learning Way

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:23.894935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed45f950-7f0f-4a09-9c65-7cf997065bfc · outbound

This paper cites Generalization in mean field games by learning master policies.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Generalization in mean field games by learning master policies

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:33.421759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f072f44-c0b5-4a69-907c-fc5f15848068 · outbound

This paper cites Relative entropy policy search.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Relative entropy policy search

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:33.137548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6d8c63e-2826-4cb1-8ef4-c27bdf46da08 · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:32.954863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b27f4cb1-4c6d-4247-9f29-14222d27e36e · outbound

This paper cites Risk-averse dynamic programming for markov decision processes.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Risk-averse dynamic programming for markov decision processes

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:32.785228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78eb7089-8b69-4d91-8dea-1905199a3f2a · outbound

This paper cites Discrete-time average-cost mean-field games on polish spaces.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Discrete-time average-cost mean-field games on polish spaces

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:32.563548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a06817dc-94c0-40e9-b3b1-aced4a8a7c3e · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games The StarCraft Multi-Agent Challenge

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:24.777756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27eef3f0-dde0-4a7e-9fbb-adfc6193a832 · outbound

This paper cites and Geist, M.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Geist, M

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:32.297226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17cde2f0-fc39-4990-83b9-63c2af12ed7f · outbound

This paper cites Trust region policy optimization.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Trust region policy optimization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:32.042431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e163f9de-fd01-4a78-be95-55c051baff8d · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:25.197393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62a70fbc-ee7d-4dfb-82e9-fedcc03f6342 · outbound

This paper cites Adaptive trust region policy optimization: Global convergence and faster rates for regularized mdps.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Adaptive trust region policy optimization: Global convergence and faster rates for regularized mdps

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:31.863235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c61aa626-fc8a-479d-9489-b171f6d3fac2 · outbound

This paper cites Near-optimal time and sample complexities for solving markov decision processes with a generative model.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Near-optimal time and sample complexities for solving markov decision processes with a generative model

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:31.502983Z

Source-reported events for the cited work

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Observation c285cf1f-31d3-422b-9690-aae4aa618c9a · outbound

This paper cites and Barto, A.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Barto, A

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:31.332007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd5dc256-aa0c-4404-8f4f-3f0e0ae72acd · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:31.146473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f602fc9-608c-4b01-8d32-15962ae3e3ba · outbound

This paper cites Algorithms for reinforcement learning.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Algorithms for reinforcement learning

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:30.866770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d97a3575-cbc2-4494-a256-039da6b3be71 · outbound

This paper cites and Zhou, X.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games and Zhou, X

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:30.584759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d23c640d-f2cb-4332-a07e-46bc412993b2 · outbound

This paper cites Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:30.349052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14ce55e6-3de5-4025-be1d-644c4611101b · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:29.996593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4948045-4cdc-45ec-9ad2-856d0e229c0e · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:29.720378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97283845-d13d-4399-bf3c-36ce0d4ffa19 · outbound

This paper cites Policy mirror ascent for efficient and independent learning in mean field games.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Policy mirror ascent for efficient and independent learning in mean field games

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:29.386478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4890fa3-9eba-4808-83e8-edca356f2b54 · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:10:29.189716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 83382493-16e4-41c4-bcf8-b5ca657e6f61 · outbound

This paper cites Multi-agent reinforcement learning: A selective overview of theories and algorithms.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Multi-agent reinforcement learning: A selective overview of theories and algorithms

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:29.016638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2658e27-0b40-4d5f-b58c-a51f579f4b39 · outbound

This paper cites an unresolved cited work.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games Unresolved cited work

Reference 97

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Observation 010bacfd-047a-4a62-9ea7-646781f58239 · outbound

This paper cites D., Bagnell, J.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games D., Bagnell, J

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:10:28.811262Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26a31921-354f-45b5-b123-62d2532794ca · outbound

This paper cites write newline.

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games write newline

Reference 99

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