Pith. sign in

Paper Citation Record · LEDGER

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.00797.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.00797 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:13.560082Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy33
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b6bd020-82aa-42ab-88a0-e05f2d1d3abe · outbound

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

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent reinforcement learning: A selective overview of theories and algorithms

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:21.135416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:08.649500Z digest=sha256:d9ff0f4ec3981e5658d9f94d73941b8a149dd767000b64a8fb4c9d60bb1e6cd4

Observation 51024266-e33e-4c57-97d6-a3db8b1a2638 · outbound

This paper cites A review of cooperative multi-agent deep reinforce- ment learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning A review of cooperative multi-agent deep reinforce- ment learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:08.748019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:08.748019Z digest=sha256:5969d9af7ccf8c370a746afc170a7631ff9dda2f33e9f97b0d30459dc6f48142

Observation c7f3603e-4208-4639-9314-9223ee5d0c63 · outbound

This paper cites Revisiting some common practices in cooperative multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Revisiting some common practices in cooperative multi-agent reinforcement learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:20.954678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:08.860682Z digest=sha256:98455deac7dd6ad71799a416dbca458c59ec2a5c80982c5679fd38298cc27aa1

Observation 89109b44-7e27-47d0-9b75-268f5356a050 · outbound

This paper cites Towards global optimality in cooperative marl with sequential transformation.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Towards global optimality in cooperative marl with sequential transformation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:20.771005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.003537Z digest=sha256:0d04769dbe9e4c38a34e0a8e3980f16808ff833606f5814bcf664f8f8f0ba0be

Observation e38ff12b-715f-4e7a-bca9-b8c61d99d06f · outbound

This paper cites an unresolved cited work.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:09:20.579717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.155414Z digest=sha256:9274ce354cc81e60054ae552607574e7d4bf0779b484906f44acc83211bc0674

Observation f87454b7-397d-457d-91dc-cdd452778d19 · outbound

This paper cites Multiagent reinforcement learning: Rollout and policy iteration.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multiagent reinforcement learning: Rollout and policy iteration

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:20.397911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.249278Z digest=sha256:bb50cc69b12d70095c21a37e7ae8a1dc467b0230d48528d1cc31113e6c82dd5c

Observation 2e812c2d-9698-4dc1-bf85-6c04095e31bb · outbound

This paper cites Context-aware bayesian network actor-critic methods for cooperative multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Context-aware bayesian network actor-critic methods for cooperative multi-agent reinforcement learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:20.209812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.341192Z digest=sha256:ce1ed5ffaa1eaedcdc1039ebc4785990864e4444ed9007f1abf10ff84f277331

Observation 1c7acf73-a58e-4307-afc1-2ee4bc6c28aa · outbound

This paper cites Coordinated reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Coordinated reinforcement learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:19.999451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.429599Z digest=sha256:b2923dfdaf651911f15f1e6e6f427df6b30e8adb23bc3ab69cb085d1fbc54c38

Observation 5b1cc5d4-84a6-4c0c-9624-aff77fee7ada · outbound

This paper cites More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:14.299095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.530585Z digest=sha256:52fd547a5b7b46638178e4f941a71a3a7dbc8bf542aa1ca5b53d06de092e5a78

Observation 32ccfa27-6f00-40a1-a13a-276a6a831e68 · outbound

This paper cites Multi-agent reinforcement learning: Independent vs.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent reinforcement learning: Independent vs

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:19.760972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:09.679161Z digest=sha256:67ba0be6099283dde34b7701e052ce0328ed66fd7876329260a7dfb63b75520c

Observation 5fdb052c-3b61-4b2b-a13e-ed0f424ccbd0 · outbound

This paper cites Value- decomposition networks for cooperative multi-agent learning based on team reward.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Value- decomposition networks for cooperative multi-agent learning based on team reward

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:09.757254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:09.757254Z digest=sha256:89e8b418cafe1f22414b2005dbfb558427cce994f7579c6f29ab6cffc80259ab

Observation 617e1732-bcb8-4416-9fa7-b10ea31c513f · outbound

This paper cites Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:09.871952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:09.871952Z digest=sha256:8fc72a78eb70378bcd60172e7e1bbeabef64ec45e5ddac699e51af384e88aec3

Observation 9f9d4401-e4c2-4462-ab8f-6f2f0b0c0310 · outbound

This paper cites Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:19.533967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.006495Z digest=sha256:c783f27d418cf247c5cc1bff18d46bff4e3f42ad848bdf814cc887e2d59e95b2

Observation 2d436245-855b-47d1-a796-f8c1f5101110 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:19.388235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.158960Z digest=sha256:8e771faa730272e8d716948110e3f8602f507cd7b45d86120ab107c173f3e4f3

Observation 2c22b13d-e5f9-4fc1-980a-0f6363672d32 · outbound

This paper cites Counterfactual multi-agent policy gradients.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Counterfactual multi-agent policy gradients

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:10.294956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:10.294956Z digest=sha256:c3d137bd09f83c938a05bc9e89ac6cd6631e06f75c4c1d3c325003d287c116fd

Observation 7f009bdb-7411-4286-8e57-61636f1a08b4 · outbound

This paper cites Actor-attention-critic for multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Actor-attention-critic for multi-agent reinforcement learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:19.168581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.443532Z digest=sha256:a5ccaac96c1b0b0d8d7e534a7ad22385cb931f4fca924a9a44582d0c7e53a4d6

Observation da0dc977-e59a-4176-aeaa-e2452537fbca · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.942059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.589233Z digest=sha256:a7e30b5e02c812ec9c5ca1e55c7262c3f1524ebcb2c94bbad2b6b48c52a5fdb1

Observation 1b428e06-5328-44be-9ed5-0917852f530a · outbound

This paper cites Deep coordination graphs.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Deep coordination graphs

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.754897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.709772Z digest=sha256:97546543ef8f2639cedb3039ed3019fae5120911b829d30dacbdb2be035a8424

Observation 6349482b-11c0-43e9-9a51-0b679ed6eea2 · outbound

This paper cites Deep implicit coordination graphs for multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Deep implicit coordination graphs for multi-agent reinforcement learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.551846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.773040Z digest=sha256:0227befbf6147b3c3dde7cf4b4c0e71ddcd5ad2fee8cda3c097461a4ede3bcb4

Observation 2eecfbe2-19f6-4f33-94bd-62d8861d7bf3 · outbound

This paper cites Context-aware sparse deep coordination graphs.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Context-aware sparse deep coordination graphs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:10.869588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:10.869588Z digest=sha256:bb209006e2e4a4a6c6d73680c9eb95a36deff5875bbaae053ca2339ce287ed8b

Observation aa0c4210-4186-4ffe-a81b-fc3e9971270e · outbound

This paper cites Analysing factoriza- tions of action-value networks for cooperative multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Analysing factoriza- tions of action-value networks for cooperative multi-agent reinforcement learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.377599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:10.972434Z digest=sha256:1f8ad4f18bcbb487fdeaeca896a6b2fa0b9d7586df716dac4baec498ab946248

Observation b2e9d5bf-c29b-4406-83a2-9d2fb17d526e · outbound

This paper cites Biasing coevolutionary search for optimal multiagent behaviors.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Biasing coevolutionary search for optimal multiagent behaviors

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.216281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.048003Z digest=sha256:bf955d717354ce5aa1decffdf2026bd4a7be26236270a43b4b7cc59b1752126b

Observation f88da3a5-629c-41da-935e-3766dd477d76 · outbound

This paper cites Bounded approximate decentralised coordination via the max-sum algorithm.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Bounded approximate decentralised coordination via the max-sum algorithm

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:18.090154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.130000Z digest=sha256:6d8dada1cc7d26982ac74af7b77a3197e74fb66d20d06bcbd2212efe442ff8c7

Observation 908f2428-3f57-4636-bf13-0dbf972ef113 · outbound

This paper cites Nonserial dynamic programming.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Nonserial dynamic programming

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:17.865044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.226850Z digest=sha256:6d4f837ed54442f4896fdc036a8cfa34ff0ad2f0e3b0fca606784e3a12980f2b

Observation 184c00e3-a0d2-49d9-acc3-b51f6c95b328 · outbound

This paper cites Gcs: Graph-based coordination strategy for multi-agent rein- forcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Gcs: Graph-based coordination strategy for multi-agent rein- forcement learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:17.665808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.302675Z digest=sha256:aba8321b3824606825b3b79fdf2c4940418e60d490f8eb42db62015d1f1e01da

Observation ad4dc34a-6841-4ad4-a88e-b29c27c1e97a · outbound

This paper cites Ace: Cooperative multi-agent q-learning with bidirectional action-dependency.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Ace: Cooperative multi-agent q-learning with bidirectional action-dependency

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:17.505016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.375942Z digest=sha256:882698e240a97c24ccb9375031b700b342676bb035805564c4c17e3419fde499

Observation ad3ff415-1ea2-4460-ad54-4dd744c33bcf · outbound

This paper cites Backpropagation through agents.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Backpropagation through agents

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:17.302075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.463197Z digest=sha256:03c2685e20dfa229952234240d69844c1afec289cf496a688629ca5e825d10aa

Observation 0ad99584-ad15-4aad-8479-709a1fd67805 · outbound

This paper cites Group-aware coordination graph for multi-agent reinforce- ment learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Group-aware coordination graph for multi-agent reinforce- ment learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:17.124913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.548731Z digest=sha256:77871581f6c0a2882b8977cdeaa3ea188545564b693b105dde7f70d5e761d5c4

Observation d7e21359-9f50-4aa0-a801-56994194dd44 · outbound

This paper cites Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:11.648515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:11.648515Z digest=sha256:22722af74d8d706a92f6fef081509af1485e012de5328cf52ea48b579e577968

Observation e55f56e1-7572-4113-8bbd-39aa00d71bb6 · outbound

This paper cites Multi-agent reinforcement learning is a sequence modeling problem.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent reinforcement learning is a sequence modeling problem

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:16.911860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.719251Z digest=sha256:56df84acc2138e9707d845ec4797dd3318b61758e38abe2ed4388e25d8a5cd3f

Observation 0e09f4b3-627c-4f57-b282-b16fd3ef2fd5 · outbound

This paper cites Coordinated multi-agent reinforcement learning in net- worked distributed POMDPs.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Coordinated multi-agent reinforcement learning in net- worked distributed POMDPs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:16.673642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.819710Z digest=sha256:4f07ff0baabccf112c5bc24138ded180ce45bbb0c48e9ff48f7d573f74174fef

Observation 809ce0f2-1670-46a6-ab0e-8f3084295b37 · outbound

This paper cites Learning to coordinate with coordination graphs in repeated single-stage multi-agent decision problems.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Learning to coordinate with coordination graphs in repeated single-stage multi-agent decision problems

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:16.457907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.885075Z digest=sha256:3a4a6148377aac4b0c3c2326ad2cbf41ff995a60cc9d41d9c4be3820ac277753

Observation 02f366e8-e52a-4426-9378-aa4310f7ef90 · outbound

This paper cites Coordinated Reinforcement Learning for Optimizing Mobile Networks.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Coordinated Reinforcement Learning for Optimizing Mobile Networks

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:14.106967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:11.957490Z digest=sha256:e7e9bd4677892756afa279d84290ff031ca6ed8789be8897f384608555d90dce

Observation 41654430-94ba-4132-96aa-30a723418a60 · outbound

This paper cites Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:13.963852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.080207Z digest=sha256:4da328c88021af4976e6ded8082b0d76a1eaaaa6d25edc1ec63b0a8058dccb27

Observation 1f1f0e6a-b47a-4210-8dba-072c3981eac2 · outbound

This paper cites On the global convergence rates of decentralized softmax gradient play in markov potential games.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning On the global convergence rates of decentralized softmax gradient play in markov potential games

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:16.257303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.157464Z digest=sha256:ef6e3f0ab4af8e66b347478fb6b5b5bedde3dfe2ddaf8ae0da181679efeb5dc3

Observation 1da1cc19-7669-4d0a-8ca0-1869eb7b544d · outbound

This paper cites Trust region policy optimisation in multi-agent reinforcement learning.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Trust region policy optimisation in multi-agent reinforcement learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:16.081145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.226182Z digest=sha256:b2a3e14eeb0b392068bf427b087ee2aed9fd282140acb4869fb3af2f9e5fa16e

Observation 69ee98c4-8091-4c8c-aced-d371d6ed6dfa · outbound

This paper cites On minmax theorems for multiplayer games.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning On minmax theorems for multiplayer games

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:15.898241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.275355Z digest=sha256:7c8e9fbec73c267aee05f82d8b35637bf52021c3857b1cdac429a61ae77b2a3a

Observation c780cd43-1d7f-4464-98d5-af134bf54847 · outbound

This paper cites Team theory and person-by-person optimization with binary decisions.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Team theory and person-by-person optimization with binary decisions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:15.732224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.360426Z digest=sha256:305f560a9acdc59d43f859a162d3f58cb5bf1877a5cac8dd202d00a1f3f46880

Observation 850a2fe5-a037-4794-a047-ec8be72c6304 · outbound

This paper cites Collaborative multiagent reinforcement learning by payoff propagation.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Collaborative multiagent reinforcement learning by payoff propagation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:15.527030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.491947Z digest=sha256:b06e36b25d8e1b9822180de65675913228f228c8185913fb9398909f33209d8e

Observation 1ed0f93c-a933-458c-b352-e2eefac6ca96 · outbound

This paper cites Reinforcement learning: An introduction.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Reinforcement learning: An introduction

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:12.638776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:12.638776Z digest=sha256:86730d85791a9ab139d768234bb05de19ed74d1b420253fa089cb47047a5f9ab

Observation 3c90702e-bb78-468b-ae25-b015cb39909e · outbound

This paper cites Microscopic traffic simulation using sumo.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Microscopic traffic simulation using sumo

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:15.312623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.701283Z digest=sha256:88e004fca0251ade9e2eb58cc3a3f16e1814752594b312673b74fcf5c8356136

Observation 84d1ec4b-c5e0-423b-8129-c892d0aa8b05 · outbound

This paper cites an unresolved cited work.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:09:15.146793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.775891Z digest=sha256:c6b1aa2cdffb35b4c467b18755441a83c7e42a28fa124f6af522bc103fcec24d

Observation e963249d-7e11-47ae-b019-9e3359cf0bd2 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:12.878586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:12.878586Z digest=sha256:04c88f8041fbabaa529c446455a52efcb97b57f13e06dc8386e35afca7c89ab6

Observation ddcf55f2-8984-4bd4-9119-914bb90b057b · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:14.987869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:12.993195Z digest=sha256:24b4e2d3f7d377e0468eae40fe0b9ea8dfa589e7e6d5a41ce3c8bc41edea70f8

Observation 770ba9b0-04db-4ea9-960a-d0f43d179fc6 · outbound

This paper cites Multi-agent Reinforcement Learning for Networked System Control.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Multi-agent Reinforcement Learning for Networked System Control

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:09:13.790402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:13.071784Z digest=sha256:6bfe0ed021e16ec0c66494c80a5a94136f5014308cefdbf3f17bb559017e07aa

Observation 792e14a1-b117-4f07-97aa-11490eed0c67 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:13.162796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:13.162796Z digest=sha256:85fa3188c1319c609ff8c6d0bcddc21f8a60aa1c73ed6270a77096609fd81175

Observation 31c27e78-34fa-4be7-ad14-d95b43c19ca2 · outbound

This paper cites Abstract dynamic programming.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Abstract dynamic programming

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:14.827639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:13.215863Z digest=sha256:9cc7980b504d999e6b5506cc5ab5e22e3e0bbd624de2a761f72a68a8c504c737

Observation 2f839a35-c33c-41fc-b476-2f4ed18c165e · outbound

This paper cites Dynamical model of traffic congestion and numerical simulation.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Dynamical model of traffic congestion and numerical simulation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:09:14.696229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:13.294728Z digest=sha256:b1a181024a4986458e28082316487c76d1014935db9f23915e376e0208261a1e

Observation 4bc9af4d-727e-4618-85e9-d07eb361547d · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:13.360881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:13.360881Z digest=sha256:bd4a8eb2a9733890b6f930e61357f0f9ee5f97ca4d5998260f073e0c50e15965

Observation 6bc46274-8ff6-4695-8499-a18a4dfa8c4f · outbound

This paper cites Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:13.464761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:13.464761Z digest=sha256:99b72318b5008f5a42a0b44aa25e14e097bbc084dacd4ff29e4536a9f026d666

Observation 6276f5eb-db5b-4c6f-8332-e34c28c3607f · outbound

This paper cites Albrecht.

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning Albrecht

Reference 51

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T12:09:14.491389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:09:13.560082Z digest=sha256:bb4431800ffb58c498eb47cc13e072f8d3a894b95eca1412d524b8aa9159d020

Pith citing papers

No inbound Pith citation observations are available.