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Found 2 papers, 2 papers with code
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report
In this report, we present results reproductions for several core algorithms implemented in the OpenSpiel framework for learning in games.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Theory of Mind for Deep Reinforcement Learning in Hanabi
The partially observable card game Hanabi has recently been proposed as a new AI challenge problem due to its dependence on implicit communication conventions and apparent necessity of theory of mind reasoning for efficient play.
