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Found 2 papers, 1 papers with code
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
Recent work has leveraged Knowledge Representation (KR) to provide a symbolic abstraction of aspects of the state that summarize reward-relevant properties of the state-action history and support learning a Markovian decomposition of the problem in terms of an automaton over the KR.
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL
In this work, we draw upon the idea of formal contracting from economics to overcome diverging incentives between agents in MARL.
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