Path-Tree Optimization in Partially Observable Environments using Rapidly-Exploring Belief-Space Graphs.
Camille PhiquepalAndreas OrtheyNicolas ViennotMarc ToussaintPublished in: CoRR (2022)
Keyphrases
- belief space
- partially observable environments
- partially observable
- partially observable markov decision processes
- state space
- belief state
- dynamic environments
- motion planning
- initial state
- planning under uncertainty
- markov decision processes
- dynamical systems
- spanning tree
- reinforcement learning algorithms
- finite state
- reinforcement learning
- long run
- machine learning
- mobile robot
- learning algorithm