POMDP Manipulation Planning under Object Composition Uncertainty.
Joni PajarinenJens LundellVille KyrkiPublished in: CoRR (2020)
Keyphrases
- planning problems
- partial observability
- belief space
- partially observable
- partially observable markov decision processes
- reinforcement learning
- partially observable markov decision process
- heuristic search
- state space
- belief state
- predictive state representations
- d objects
- multi agent
- domain independent
- motion planning
- finite state
- decision theory
- ai planning
- model free reinforcement learning
- planning process
- hidden state
- composition of web services
- stochastic domains
- single agent
- plan recognition
- object model
- uncertain data
- markov decision processes
- dynamical systems
- dynamic environments
- markov chain
- mobile robot