Observation-Based Optimization for POMDPs With Continuous State, Observation, and Action Spaces.
Xiaofeng JiangJian YangXiaobin TanHongsheng XiPublished in: IEEE Trans. Autom. Control. (2019)
Keyphrases
- continuous state
- action space
- reinforcement learning
- robot navigation
- finite state
- partially observable markov decision processes
- state dependent
- markov decision processes
- state space
- control policies
- policy search
- continuous action
- planning problems
- continuous state spaces
- real valued
- autonomous robots
- belief state
- point based value iteration
- optimal policy
- dynamic programming
- machine learning
- model checking