Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space.
Ermo WeiDrew WickeSean LukePublished in: AAAI Spring Symposia (2018)
Keyphrases
- action space
- reinforcement learning
- state space
- markov decision processes
- continuous state
- state and action spaces
- continuous state spaces
- real valued
- cooperative
- reinforcement learning algorithms
- learning algorithm
- multi agent
- action selection
- dynamic programming
- optimal policy
- maximum entropy
- markov random field
- control problems
- markov decision process
- decision problems
- reinforcement learning methods
- control policies
- markov chain