Action Priors for Large Action Spaces in Robotics.
Ondrej BizaDian WangRobert Platt Jr.Jan-Willem van de MeentLawson L. S. WongPublished in: CoRR (2021)
Keyphrases
- action space
- skill learning
- state space
- markov decision processes
- continuous action
- real valued
- reinforcement learning
- continuous state
- state and action spaces
- action selection
- stochastic processes
- state action
- computer vision
- bayesian framework
- optimal policy
- heuristic search
- markov decision process
- single agent
- decision making
- function approximators
- search space
- dynamic programming
- finite state
- prior knowledge
- maximum likelihood