Provable Rich Observation Reinforcement Learning with Combinatorial Latent States.
Dipendra MisraQinghua LiuChi JinJohn LangfordPublished in: ICLR (2021)
Keyphrases
- reinforcement learning
- perceptual aliasing
- state abstraction
- function approximation
- transition model
- markov decision problems
- state action
- markov decision processes
- robotic control
- optimal policy
- state space
- optimal control
- dynamic programming
- action selection
- reinforcement learning algorithms
- high level
- least squares
- real world
- transfer learning
- search algorithm
- latent variables
- machine learning
- learning algorithm
- model free
- state transitions
- temporal difference learning
- data sets
- multi agent reinforcement learning
- reinforcement learning methods
- bayesian networks
- initial state
- temporal difference
- state transition
- multi agent
- random variables
- search space