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06/12/2023
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
We investigate learning the equilibria in non-stationary multi-agent sys...
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02/07/2023
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
We propose a new model, independent linear Markov game, for multi-agent ...
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10/24/2022
Offline congestion games: How feedback type affects data coverage requirement
This paper investigates when one can efficiently recover an approximate ...
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06/04/2022
Learning in Congestion Games with Bandit Feedback
Learning Nash equilibria is a central problem in multi-agent systems. In...
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06/01/2022
On Gap-dependent Bounds for Offline Reinforcement Learning
This paper presents a systematic study on gap-dependent sample complexit...
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06/01/2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
This paper considers offline multi-agent reinforcement learning. We prop...
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01/10/2022
When is Offline Two-Player Zero-Sum Markov Game Solvable?
We study what dataset assumption permits solving offline two-player zero...
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06/15/2021
Randomized Exploration for Reinforcement Learning with General Value Function Approximation
We propose a model-free reinforcement learning algorithm inspired by the...
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06/14/2021
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning
In this paper, a novel second-order method called NG+ is proposed. By fo...
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11/29/2020
Minimax Sample Complexity for Turn-based Stochastic Game
The empirical success of Multi-agent reinforcement learning is encouragi...
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10/12/2020
