Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space.
Ermo WeiDrew WickeSean LukePublished in: CoRR (2018)
Keyphrases
- action space
- reinforcement learning
- state space
- markov decision processes
- state and action spaces
- reinforcement learning methods
- continuous state
- real valued
- function approximation
- continuous state spaces
- action selection
- control problems
- learning algorithm
- sufficient conditions
- supervised learning
- markov decision process
- dynamic programming
- function approximators