When Is Partially Observable Reinforcement Learning Not Scary?
Qinghua LiuAlan ChungCsaba SzepesváriChi JinPublished in: COLT (2022)
Keyphrases
- partially observable
- reinforcement learning
- markov decision processes
- state space
- partial observability
- partially observable domains
- decision problems
- partially observable environments
- markov decision problems
- hidden state
- dynamical systems
- function approximation
- partial observations
- infinite horizon
- belief state
- optimal policy
- machine learning
- reward function
- reinforcement learning algorithms
- multi agent
- action models
- belief space
- temporal difference
- model free
- learning algorithm
- function approximators
- partially observable markov decision process
- dynamic programming
- np hard