Neural Recursive Belief States in Multi-Agent Reinforcement Learning.
Pol MorenoEdward HughesKevin R. McKeeBernardo Ávila PiresThéophane WeberPublished in: CoRR (2021)
Keyphrases
- multi agent reinforcement learning
- belief state
- state space
- belief revision
- reinforcement learning
- multi agent
- partially observable
- multi agent systems
- neural network
- partially observable markov decision processes
- stochastic games
- learning agents
- multi agent learning
- learning agent
- dynamic bayesian networks
- dynamic programming
- distributed control
- heuristic search