Co-occurring keywords · papers mentioning both
Papers
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium
NeurIPS 2022
Let’s Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
IJCAI 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
NeurIPS 2022
Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games
UAI 2022
No-Regret Learning in Time-Varying Zero-Sum Games
ICML 2022
No Weighted-Regret Learning in Adversarial Bandits with Delays
JMLR 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
ICML 2022
On Last-Iterate Convergence Beyond Zero-Sum Games
ICML 2022
On the Convergence of Fictitious Play: A Decomposition Approach
IJCAI 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
NeurIPS 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
AISTATS 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
NeurIPS 2022
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
NeurIPS 2022
Parameterized Complexity of Hotelling-Downs with Party Nominees
IJCAI 2022
Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters
IJCAI 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
AAAI 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
NeurIPS 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
ICLR 2022
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
NeurIPS 2022
Safe Opponent-Exploitation Subgame Refinement
NeurIPS 2022
Safe Subgame Resolving for Extensive Form Correlated Equilibrium
AAAI 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
NeurIPS 2022
Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game
ICLR 2022
Single-Agent Dynamics in Additively Separable Hedonic Games
AAAI 2022