Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs.
Camille PhiquepalAndreas OrtheyNicolas ViennotMarc ToussaintPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- belief space
- partially observable environments
- partially observable
- partially observable markov decision processes
- belief state
- state space
- continuous state
- reinforcement learning
- finite state
- planning under uncertainty
- motion planning
- decision problems
- markov decision processes
- finite number
- dynamic environments
- reinforcement learning algorithms
- dynamical systems
- mathematical programming
- domain specific
- inverse reinforcement learning