Equivariant Reinforcement Learning under Partial Observability.
Hai Huu NguyenAndrea BaiseroDavid KleeDian WangRobert PlattChristopher AmatoPublished in: CoRL (2023)
Keyphrases
- partial observability
- reinforcement learning
- partially observable
- symbolic model checking
- markov decision process
- state space
- learning agent
- belief state
- fully observable
- planning problems
- belief space
- optimal policy
- model free
- function approximation
- markov decision processes
- partial information
- machine learning
- partially observable markov decision processes
- planning domains
- reinforcement learning algorithms
- neural network