Partially Observable Mean Field Reinforcement Learning.
Sriram Ganapathi SubramanianMatthew E. TaylorMark CrowleyPascal PoupartPublished in: AAMAS (2021)
Keyphrases
- partially observable
- reinforcement learning
- state space
- markov decision processes
- partial observability
- partially observable domains
- hidden state
- markov decision problems
- function approximation
- partially observable environments
- decision problems
- partial observations
- dynamical systems
- infinite horizon
- markov random field
- reward function
- markov networks
- belief networks
- action models
- multi agent
- optimal policy
- reinforcement learning algorithms
- temporal difference
- partially observable markov decision process
- em algorithm
- fully observable
- model free
- machine learning
- learning algorithm
- partially observable markov decision processes
- bayesian inference
- markov chain