Extending Behavior Trees for Representing and Planning Robot Adjoint Actions in Partially Observable Environments.
Shuo YangXinjun MaoShuo WangYantao BaiPublished in: J. Intell. Robotic Syst. (2021)
Keyphrases
- partially observable environments
- partially observable
- goal directed
- autonomous robots
- mobile robot
- macro actions
- state space
- primitive actions
- dynamical systems
- action selection
- decision theoretic
- reinforcement learning
- decision problems
- humanoid robot
- belief state
- markov decision processes
- planning problems
- path planning
- partially observable markov decision process
- inverse reinforcement learning
- heuristic search
- reinforcement learning algorithms
- partially observable markov decision processes
- initial state
- autonomous agents
- optimal control
- planning domains
- infinite horizon
- decision making