Partially Observable Mean Field Reinforcement Learning.
Sriram Ganapathi SubramanianMatthew E. TaylorMark CrowleyPascal PoupartPublished in: CoRR (2020)
Keyphrases
- partially observable
- reinforcement learning
- state space
- markov decision processes
- partial observability
- partially observable domains
- partially observable environments
- infinite horizon
- function approximation
- reward function
- decision problems
- partial observations
- dynamical systems
- markov decision problems
- hidden state
- action models
- markov random field
- belief networks
- model free
- reinforcement learning algorithms
- markov networks
- belief state
- partially observable markov decision process
- multi agent
- learning algorithm
- machine learning
- function approximators
- bayesian inference
- optimal policy
- markov decision process
- partially observable markov decision processes
- temporal difference
- inverse reinforcement learning
- fully observable
- search space