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Poster
Wed 7:30 Towards convergence to Nash equilibria in two-team zero-sum games
Fivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
Wed 7:30 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Oral
Wed 6:10 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Poster
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
Zijing Shi · Meng Fang · Yunqiu Xu · Ling Chen · Yali Du
Poster
Tue 7:30 Population-size-Aware Policy Optimization for Mean-Field Games
Pengdeng Li · Xinrun Wang · Shuxin Li · Hau Chan · Bo An
Poster
O(T1) Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
Yuepeng Yang · Cong Ma
Poster
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
Zhuoqing Song · Jason Lee · Zhuoran Yang
Poster
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
Wenhao Zhan · Jason Lee · Zhuoran Yang
Poster
Learning Rationalizable Equilibria in Multiplayer Games
Yuanhao Wang · Dingwen Kong · Yu Bai · Chi Jin
Poster
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen McAleer · Gabriele Farina · Marc Lanctot · Tuomas Sandholm
Poster
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Liwei Wang · Tong Zhang
Poster
Representation Learning for Low-rank General-sum Markov Games
Chengzhuo Ni · Yuda Song · Xuezhou Zhang · Zihan Ding · Chi Jin · Mengdi Wang