State Space Reduction For Hierarchical Reinforcement Learning.
Mehran AsadiManfred HuberPublished in: FLAIRS Conference (2004)
Keyphrases
- hierarchical reinforcement learning
- state space
- state abstraction
- reinforcement learning
- reward function
- markov decision process
- markov decision processes
- dynamic programming
- heuristic search
- reinforcement learning algorithms
- optimal policy
- model free
- markov chain
- state variables
- function approximation
- dynamical systems
- particle filter
- basis functions
- initial state
- action space
- belief state
- generative model
- partially observable
- path finding
- policy iteration
- markov decision problems
- search space
- search algorithm