Markov games
PulseAugur coverage of Markov games — every cluster mentioning Markov games across labs, papers, and developer communities, ranked by signal.
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New algorithm computes normal-form correlated equilibria in Markov games
Researchers have developed the first efficient algorithm for computing normal-form correlated equilibria (NFCEs) in finite-horizon Markov games. The algorithm runs in time $S(AH/\epsilon)^{O(n)}$ for $n$ players, $S$ st…
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New Q-iteration method tackles continuous-action zero-sum Markov games
Researchers have developed a new method for online fitted Q-iteration in continuous-action zero-sum Markov games. This approach utilizes convex-concave neural network function approximators to ensure a pure-strategy sad…
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New research explores robust, adaptive, and structured reinforcement learning techniques · 10 sources tracked
Multiple research papers published on arXiv explore advancements in reinforcement learning (RL) techniques. One paper unifies regularization-based methods for robust deep RL against adversarial perturbations, proposing …
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New algorithm enables independent Nash equilibrium learning in partially observable Markov games
Researchers have developed an independent learning algorithm for agents in partially observable Markov games (POMGs). This algorithm allows agents to learn approximate Nash equilibria without direct communication or ful…