Solving Zero-Sum Convex Markov Games | Paper Citation Record

Observation d52c36e9-a840-48d2-b029-8bf780861f8c · outbound

This paper cites write newline.

Solving Zero-Sum Convex Markov Games write newline

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This paper cites Ho, Michael Littman, Doina Precup, and Satinder Singh.

Solving Zero-Sum Convex Markov Games Ho, Michael Littman, Doina Precup, and Satinder Singh

Reference 2

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This paper cites Theory of maxima and the method of lagrange.

Solving Zero-Sum Convex Markov Games Theory of maxima and the method of lagrange

Reference 3

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This paper cites The rate of convergence of bregman proximal methods: Local geometry versus regularity versus sharpness.

Solving Zero-Sum Convex Markov Games The rate of convergence of bregman proximal methods: Local geometry versus regularity versus sharpness

Reference 4

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Observation 0a0ab338-ff42-440e-8d76-b225e41bf1d5 · outbound

This paper cites Provable self-play algorithms for competitive reinforcement learning.

Solving Zero-Sum Convex Markov Games Provable self-play algorithms for competitive reinforcement learning

Reference 5

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Observation e37b4d30-3662-4b5b-aa5f-c50aac10beb7 · outbound

This paper cites Multiplicative weights update in zero-sum games.

Solving Zero-Sum Convex Markov Games Multiplicative weights update in zero-sum games

Reference 6

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This paper cites Finite regret and cycles with fixed step-size via alternating gradient descent-ascent.

Solving Zero-Sum Convex Markov Games Finite regret and cycles with fixed step-size via alternating gradient descent-ascent

Reference 7

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Observation 3efe868b-18c8-4c93-a434-f0f212b61fed · outbound

This paper cites Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning.

Solving Zero-Sum Convex Markov Games Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 8

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Observation fe8cff65-0809-443c-89d3-fb5eb150c1aa · outbound

This paper cites Reinforcement learning with general utilities: Simpler variance reduction and large state-action space.

Solving Zero-Sum Convex Markov Games Reinforcement learning with general utilities: Simpler variance reduction and large state-action space

Reference 9

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Observation 51558166-fc07-4a72-b252-801e6b32e2ab · outbound

This paper cites Bauschke and Patrick L.

Solving Zero-Sum Convex Markov Games Bauschke and Patrick L

Reference 10

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Observation 90375c2a-a27c-4dad-911b-ec70060cdf52 · outbound

This paper cites Dynamic programming and stochastic control processes.

Solving Zero-Sum Convex Markov Games Dynamic programming and stochastic control processes

Reference 11

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This paper cites Hidden convexity in some nonconvex quadratically constrained quadratic programming.

Solving Zero-Sum Convex Markov Games Hidden convexity in some nonconvex quadratically constrained quadratic programming

Reference 12

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Observation 11adc3f6-e7e8-43b3-bb49-929d1003c02b · outbound

This paper cites Improved Hardness Results for Min-Max Optimization with Coupled Constraints.

Solving Zero-Sum Convex Markov Games Improved Hardness Results for Min-Max Optimization with Coupled Constraints

Reference 13

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Observation 80763eb1-e3e2-4e8e-92a8-2456f16afa45 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Solving Zero-Sum Convex Markov Games Dota 2 with Large Scale Deep Reinforcement Learning

Reference 14

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Observation 0d744f28-c374-40d4-9b26-2e16b8a6b5d7 · outbound

This paper cites Lyapunov Theory for Discrete Time Systems.

Solving Zero-Sum Convex Markov Games Lyapunov Theory for Discrete Time Systems

Reference 15

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Observation c5503538-e3c3-42f3-b762-f6834e713268 · outbound

This paper cites Characterizations of ojasiewicz inequalities: subgradient flows, talweg, convexity.

Solving Zero-Sum Convex Markov Games Characterizations of ojasiewicz inequalities: subgradient flows, talweg, convexity

Reference 16

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Observation 1382445c-02c4-46f6-bd23-45fd7e4fd374 · outbound

This paper cites Collaborative multi-robot exploration.

Solving Zero-Sum Convex Markov Games Collaborative multi-robot exploration

Reference 17

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Observation 37efe7a1-19e8-43d1-9bf1-5ae898618eb7 · outbound

This paper cites Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback.

Solving Zero-Sum Convex Markov Games Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback

Reference 18

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Observation ad4e14dd-3206-4bf0-b644-ed11214d4992 · outbound

This paper cites Near-optimal policy optimization for correlated equilibrium in general-sum markov games.

Solving Zero-Sum Convex Markov Games Near-optimal policy optimization for correlated equilibrium in general-sum markov games

Reference 19

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Observation 8be7fb11-9d23-4093-b274-c061536901a9 · outbound

This paper cites Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games.

Solving Zero-Sum Convex Markov Games Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games

Reference 20

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Observation 0e2fe7c8-cc06-43da-a294-cc8434ef64c7 · outbound

This paper cites Alternation makes the adversary weaker in two-player games.

Solving Zero-Sum Convex Markov Games Alternation makes the adversary weaker in two-player games

Reference 21

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Observation 2143b875-fbc6-4642-b290-33350b624643 · outbound

This paper cites Chambolle and Thomas Pock.

Solving Zero-Sum Convex Markov Games Chambolle and Thomas Pock

Reference 22

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Observation 0ea53250-a11f-4fd9-bc93-b0afe62a140d · outbound

This paper cites On the theory of reinforcement learning with once-per-episode feedback.

Solving Zero-Sum Convex Markov Games On the theory of reinforcement learning with once-per-episode feedback

Reference 23

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Observation f45aa808-8e0d-423d-9605-37482a22276d · outbound

This paper cites Reducing noise in gan training with variance reduced extragradient.

Solving Zero-Sum Convex Markov Games Reducing noise in gan training with variance reduced extragradient

Reference 24

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Observation 037e7605-5069-48e2-ad05-bfe9988ca768 · outbound

This paper cites Taming GANs with Lookahead-Minmax.

Solving Zero-Sum Convex Markov Games Taming GANs with Lookahead-Minmax

Reference 25

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Observation 25045e6b-e2b5-4eda-ac38-c948843b7f16 · outbound

This paper cites Efficient algorithms for a class of stochastic hidden convex optimization and its applications in network revenue management.

Solving Zero-Sum Convex Markov Games Efficient algorithms for a class of stochastic hidden convex optimization and its applications in network revenue management

Reference 26

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Observation 6370b283-1f85-4b01-8954-4b91d67bd9bc · outbound

This paper cites Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards.

Solving Zero-Sum Convex Markov Games Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:57.398772Z

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Observation 089a2018-8031-4cd9-9f11-8e21576b9a90 · outbound

This paper cites Regret minimization for reinforcement learning with vectorial feedback and complex objectives.

Solving Zero-Sum Convex Markov Games Regret minimization for reinforcement learning with vectorial feedback and complex objectives

Reference 28

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Observation 6005b0c2-0a6f-4dea-b7bc-bd59a82cb040 · outbound

This paper cites When are offline two-player zero-sum markov games solvable? Advances in Neural Information Processing Systems, 35: 0 25779--25791, 2022.

Solving Zero-Sum Convex Markov Games When are offline two-player zero-sum markov games solvable? Advances in Neural Information Processing Systems, 35: 0 25779--25791, 2022

Reference 29

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Observation d677b73d-6c69-4ce1-be55-455fd4d66758 · outbound

This paper cites Breaking the curse of multiagents in a large state space: Rl in markov games with independent linear function approximation.

Solving Zero-Sum Convex Markov Games Breaking the curse of multiagents in a large state space: Rl in markov games with independent linear function approximation

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Observation bf2accfb-5022-440c-b8c7-9360b2ddecdd · outbound

This paper cites Independent policy gradient methods for competitive reinforcement learning.

Solving Zero-Sum Convex Markov Games Independent policy gradient methods for competitive reinforcement learning

Reference 31

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Observation caf9b43c-40e8-4be2-b791-665defe2b3b3 · outbound

This paper cites The complexity of constrained min-max optimization.

Solving Zero-Sum Convex Markov Games The complexity of constrained min-max optimization

Reference 32

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Observation efc791ea-c1cb-4f91-bc47-dde24509abf0 · outbound

This paper cites The complexity of markov equilibrium in stochastic games.

Solving Zero-Sum Convex Markov Games The complexity of markov equilibrium in stochastic games

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Observation 6408dd65-2f1e-4a69-8c20-59a59c5b71b5 · outbound

This paper cites On the complexity of computing markov perfect equilibrium in general-sum stochastic games.

Solving Zero-Sum Convex Markov Games On the complexity of computing markov perfect equilibrium in general-sum stochastic games

Reference 34

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Observation 91e1c30c-cf0d-47df-a451-caca0d671ff8 · outbound

This paper cites First-order methods of smooth convex optimization with inexact oracle.

Solving Zero-Sum Convex Markov Games First-order methods of smooth convex optimization with inexact oracle

Reference 35

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Observation 0130da41-c8b3-48e4-9f9f-2719d91a9038 · outbound

This paper cites Efficient methods for structured nonconvex-nonconcave min-max optimization.

Solving Zero-Sum Convex Markov Games Efficient methods for structured nonconvex-nonconcave min-max optimization

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Observation 902b2dea-8592-4a46-aeae-efdc0fcd9f80 · outbound

This paper cites Independent policy gradient for large-scale markov potential games: Sharper rates, function approximation, and game-agnostic convergence.

Solving Zero-Sum Convex Markov Games Independent policy gradient for large-scale markov potential games: Sharper rates, function approximation, and game-agnostic convergence

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This paper cites Error bounds, quadratic growth, and linear convergence of proximal methods.

Solving Zero-Sum Convex Markov Games Error bounds, quadratic growth, and linear convergence of proximal methods

Reference 38

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Observation 9f410ae8-a9d8-4afc-89ae-e06e372bb6e1 · outbound

This paper cites Efficiency of minimizing compositions of convex functions and smooth maps.

Solving Zero-Sum Convex Markov Games Efficiency of minimizing compositions of convex functions and smooth maps

Reference 39

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This paper cites Reinforcement learning with trajectory feedback.

Solving Zero-Sum Convex Markov Games Reinforcement learning with trajectory feedback

Reference 40

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Observation fc4beae2-43d6-4816-b0cc-6c0345d62e28 · outbound

This paper cites Regret minimization and convergence to equilibria in general-sum markov games.

Solving Zero-Sum Convex Markov Games Regret minimization and convergence to equilibria in general-sum markov games

Reference 41

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Observation 28968245-6b81-4348-a0ed-c20032df8f19 · outbound

This paper cites Finite-dimensional variational inequalities and complementarity problems.

Solving Zero-Sum Convex Markov Games Finite-dimensional variational inequalities and complementarity problems

Reference 42

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This paper cites Finite-dimensional variational inequalities and complementarity problems.

Solving Zero-Sum Convex Markov Games Finite-dimensional variational inequalities and complementarity problems

Reference 43

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Observation d77fb016-3c45-475e-9f73-f3a48b49d4db · outbound

This paper cites Stochastic Optimization under Hidden Convexity.

Solving Zero-Sum Convex Markov Games Stochastic Optimization under Hidden Convexity

Reference 44

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Observation 2dc0fe3a-6b5f-421d-9e94-bc23b3b19d7e · outbound

This paper cites Supply and demand functions in inventory models.

Solving Zero-Sum Convex Markov Games Supply and demand functions in inventory models

Reference 45

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This paper cites Equilibrium in a stochastic n -person game.

Solving Zero-Sum Convex Markov Games Equilibrium in a stochastic n -person game

Reference 46

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Observation 79363ec6-3f92-4cc5-b728-bd94be71c9e9 · outbound

This paper cites Concave utility reinforcement learning: The mean-field game viewpoint.

Solving Zero-Sum Convex Markov Games Concave utility reinforcement learning: The mean-field game viewpoint

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Observation 3b79ff51-2e1a-480e-81d8-292e59924d3d · outbound

This paper cites Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning.

Solving Zero-Sum Convex Markov Games Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning

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Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:57.251427Z

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Observation a3cd0dde-1974-4d86-8d6d-71277861e5db · outbound

This paper cites Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization.

Solving Zero-Sum Convex Markov Games Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization

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Observation 04faf5f4-89b0-4c1a-9722-36bfe2a0126b · outbound

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Solving Zero-Sum Convex Markov Games Negative momentum for improved game dynamics

Reference 50

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This paper cites Generative adversarial nets.

Solving Zero-Sum Convex Markov Games Generative adversarial nets

Reference 51

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This paper cites Multi-agent deep reinforcement learning: a survey.

Solving Zero-Sum Convex Markov Games Multi-agent deep reinforcement learning: a survey

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This paper cites Provably efficient maximum entropy exploration.

Solving Zero-Sum Convex Markov Games Provably efficient maximum entropy exploration

Reference 53

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Observation e100ec1e-ba70-4fff-b16f-1b5d2e2dccd1 · outbound

This paper cites Inequity aversion improves cooperation in intertemporal social dilemmas.

Solving Zero-Sum Convex Markov Games Inequity aversion improves cooperation in intertemporal social dilemmas

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Observation bc0158cf-3812-4c9d-8eca-6a92a9ed493f · outbound

This paper cites Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization.

Solving Zero-Sum Convex Markov Games Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization

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Observation da9ddc6c-18f8-47f6-a6d7-9787f1c7bb39 · outbound

This paper cites What is local optimality in nonconvex-nonconcave minimax optimization? In International conference on machine learning, pages 4880--4889.

Solving Zero-Sum Convex Markov Games What is local optimality in nonconvex-nonconcave minimax optimization? In International conference on machine learning, pages 4880--4889

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Observation 3a825803-a28a-442c-b7d2-831213d857ff · outbound

This paper cites V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL.

Solving Zero-Sum Convex Markov Games V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL

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Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.468336Z

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Observation 31dc38b4-9fa4-476f-861c-20728d3bd435 · outbound

This paper cites The Complexity of Infinite-Horizon General-Sum Stochastic Games.

Solving Zero-Sum Convex Markov Games The Complexity of Infinite-Horizon General-Sum Stochastic Games

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Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:57.061811Z

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Observation d3456a67-2319-426a-8604-dfbc5b15d557 · outbound

This paper cites Zero-sum polymatrix markov games: Equilibrium collapse and efficient computation of nash equilibria.

Solving Zero-Sum Convex Markov Games Zero-sum polymatrix markov games: Equilibrium collapse and efficient computation of nash equilibria

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Observation 4e6266c0-27de-430f-86fd-cee783456366 · outbound

This paper cites Efficiently Computing Nash Equilibria in Adversarial Team Markov Games.

Solving Zero-Sum Convex Markov Games Efficiently Computing Nash Equilibria in Adversarial Team Markov Games

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Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:56.870375Z

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Observation 8be8e110-e170-4af9-a33d-662ad4a101ac · outbound

This paper cites Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem.

Solving Zero-Sum Convex Markov Games Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem

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Resolution: verified exact; local_arxiv, observed 2026-08-06T23:55:56.652128Z

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Observation c5fed828-b90c-43c3-bd5d-9794a7504799 · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the polyak- ojasiewicz condition.

Solving Zero-Sum Convex Markov Games Linear convergence of gradient and proximal-gradient methods under the polyak- ojasiewicz condition

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Observation 0b734b91-736f-4f9d-a3c0-af8dfe1191b3 · outbound

This paper cites An introduction to variational inequalities and their applications.

Solving Zero-Sum Convex Markov Games An introduction to variational inequalities and their applications

Reference 63

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This paper cites Normalizing flows: An introduction and review of current methods.

Solving Zero-Sum Convex Markov Games Normalizing flows: An introduction and review of current methods

Reference 64

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Observation ecca372f-6af9-49b1-a1dc-164dc5b2dba5 · outbound

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Solving Zero-Sum Convex Markov Games Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.501829Z

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Observation ae2fe723-e3d1-492c-9e3b-a91ef44c178d · outbound

This paper cites OpenSpiel: A Framework for Reinforcement Learning in Games.

Solving Zero-Sum Convex Markov Games OpenSpiel: A Framework for Reinforcement Learning in Games

Reference 66

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This paper cites Fundamental Benefit of Alternating Updates in Minimax Optimization.

Solving Zero-Sum Convex Markov Games Fundamental Benefit of Alternating Updates in Minimax Optimization

Reference 67

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Observation 4fec25e7-cfd9-404e-83e5-15f3336ff9a2 · outbound

This paper cites Global convergence of multi-agent policy gradient in markov potential games.

Solving Zero-Sum Convex Markov Games Global convergence of multi-agent policy gradient in markov potential games

Reference 68

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This paper cites Hidden convex minimization.

Solving Zero-Sum Convex Markov Games Hidden convex minimization

Reference 69

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This paper cites Calculus of the exponent of kurdyka-- ojasiewicz inequality and its applications to linear convergence of first-order methods.

Solving Zero-Sum Convex Markov Games Calculus of the exponent of kurdyka-- ojasiewicz inequality and its applications to linear convergence of first-order methods

Reference 70

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This paper cites H \"o lder continuity of perturbed solution set for convex optimization problems.

Solving Zero-Sum Convex Markov Games H \"o lder continuity of perturbed solution set for convex optimization problems

Reference 71

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Observation d051a1f6-731b-4c00-955a-963c089d0c3b · outbound

This paper cites Error bounds, pl condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods.

Solving Zero-Sum Convex Markov Games Error bounds, pl condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods

Reference 72

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Observation 41f71a99-a8bc-4d11-b237-b05cce08ba34 · outbound

This paper cites On gradient descent ascent for nonconvex-concave minimax problems.

Solving Zero-Sum Convex Markov Games On gradient descent ascent for nonconvex-concave minimax problems

Reference 73

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Observation edc303b0-7176-4aa2-bd96-0bafc9c0af2d · outbound

This paper cites Markov games as a framework for multi-agent reinforcement learning.

Solving Zero-Sum Convex Markov Games Markov games as a framework for multi-agent reinforcement learning

Reference 74

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This paper cites First-order convergence theory for weakly-convex-weakly-concave min-max problems.

Solving Zero-Sum Convex Markov Games First-order convergence theory for weakly-convex-weakly-concave min-max problems

Reference 75

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Observation a8e9cdaa-abce-439b-8e8f-fabeb11f2fed · outbound

This paper cites Alternating gradient descent ascent for nonconvex min-max problems in robust learning and gans.

Solving Zero-Sum Convex Markov Games Alternating gradient descent ascent for nonconvex min-max problems in robust learning and gans

Reference 76

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This paper cites Error bounds and convergence analysis of feasible descent methods: a general approach.

Solving Zero-Sum Convex Markov Games Error bounds and convergence analysis of feasible descent methods: a general approach

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.546807Z

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Observation ed43505f-d455-465c-be9e-6c04a755c255 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Solving Zero-Sum Convex Markov Games Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 78

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Observation 57b0db3c-f826-45c0-98c4-cb8d040d06a7 · outbound

This paper cites Martinet.

Solving Zero-Sum Convex Markov Games Martinet

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.555566Z

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This paper cites Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.

Solving Zero-Sum Convex Markov Games Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

Reference 80

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This paper cites Generalized natural gradient flows in hidden convex-concave games and gans.

Solving Zero-Sum Convex Markov Games Generalized natural gradient flows in hidden convex-concave games and gans

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:03.151747Z

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Observation 458baae4-f26b-4229-8801-901fe090ff0e · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Solving Zero-Sum Convex Markov Games Playing Atari with Deep Reinforcement Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.566892Z

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Observation 597fa690-27c2-4158-a1bf-a2268dba47af · outbound

This paper cites Dynamic regret bounds for constrained online nonconvex optimization based on polyak--lojasiewicz regions.

Solving Zero-Sum Convex Markov Games Dynamic regret bounds for constrained online nonconvex optimization based on polyak--lojasiewicz regions

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:03.059519Z

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Observation d3d6c894-c0a1-4832-876c-7d0d4c225446 · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

Solving Zero-Sum Convex Markov Games AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.574509Z

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This paper cites Prox-method with rate of convergence o(1/t) for variational inequalities with lipschitz continuous monotone operators.

Solving Zero-Sum Convex Markov Games Prox-method with rate of convergence o(1/t) for variational inequalities with lipschitz continuous monotone operators

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.994517Z

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Observation 092f8ab9-90d2-49d7-bdbf-4d8b35c49dfc · outbound

This paper cites Robust stochastic approximation approach to stochastic programming.

Solving Zero-Sum Convex Markov Games Robust stochastic approximation approach to stochastic programming

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.582013Z

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This paper cites Smooth minimization of non-smooth functions.

Solving Zero-Sum Convex Markov Games Smooth minimization of non-smooth functions

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.885046Z

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Observation 4fd9749c-4b2e-4f4e-86e4-6a7e3959e85a · outbound

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

Solving Zero-Sum Convex Markov Games A unified view of entropy-regularized Markov decision processes

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.589413Z

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This paper cites Solving a class of non-convex min-max games using iterative first order methods.

Solving Zero-Sum Convex Markov Games Solving a class of non-convex min-max games using iterative first order methods

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.593142Z

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Observation 4ae7b0f6-df09-4a97-a986-6ba013e6f169 · outbound

This paper cites Forward-backward splitting under the light of generalized convexity.

Solving Zero-Sum Convex Markov Games Forward-backward splitting under the light of generalized convexity

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.596958Z

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Observation 9af6e866-ead8-4d0b-94ec-43ac37be3eae · outbound

This paper cites The computational complexity of multi-player concave games and kakutani fixed points.

Solving Zero-Sum Convex Markov Games The computational complexity of multi-player concave games and kakutani fixed points

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.771405Z

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Observation 5e62715b-0cde-4175-8a7b-4c91e6a4b484 · outbound

This paper cites Multi-player zero-sum markov games with networked separable interactions.

Solving Zero-Sum Convex Markov Games Multi-player zero-sum markov games with networked separable interactions

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.641126Z

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Observation 83bc66d6-59e1-4e85-b7a0-a2fd71eb3796 · outbound

This paper cites Relative entropy policy search.

Solving Zero-Sum Convex Markov Games Relative entropy policy search

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.503445Z

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Observation bc74aa08-a51a-4653-a620-a9fad665ea73 · outbound

This paper cites Polyak and Anatoli B.

Solving Zero-Sum Convex Markov Games Polyak and Anatoli B

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.611053Z

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Observation 942c81b4-a85d-465b-82eb-be0e604aadee · outbound

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Solving Zero-Sum Convex Markov Games Markov decision processes: discrete stochastic dynamic programming

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.614653Z

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Solving Zero-Sum Convex Markov Games Maximum margin planning

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.354884Z

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Observation 596ff501-0fba-4f4c-9a5f-c794e61f80a0 · outbound

This paper cites Fast convergence to non-isolated minima: four equivalent conditions for c 2 functions.

Solving Zero-Sum Convex Markov Games Fast convergence to non-isolated minima: four equivalent conditions for c 2 functions

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.213221Z

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Observation 34ca91fd-74a3-4219-8ee2-ecf88f1afcf6 · outbound

This paper cites Tyrrell Rockafellar.

Solving Zero-Sum Convex Markov Games Tyrrell Rockafellar

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:02.063894Z

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Observation a4480692-a95f-4174-85ee-a65c16452fb1 · outbound

This paper cites Variational analysis, volume 317.

Solving Zero-Sum Convex Markov Games Variational analysis, volume 317

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T23:55:55.628964Z

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Observation 9a99b49c-926b-4973-a93f-d9212f0644ed · outbound

This paper cites Coordination strategies for multi-robot exploration and mapping.

Solving Zero-Sum Convex Markov Games Coordination strategies for multi-robot exploration and mapping

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:56:01.904314Z

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