SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control.
Haruki NishimuraMac SchwagerPublished in: WAFR (2018)
Keyphrases
- dynamical systems
- belief space
- partially observable
- planning under uncertainty
- partially observable markov decision processes
- control theory
- state space
- initial state
- action sequences
- dynamic systems
- action selection
- belief state
- motion planning
- nonlinear dynamical systems
- predictive state representations
- heuristic search
- reinforcement learning
- control system
- action space
- monte carlo
- planning problems
- dynamic programming
- markov decision problems
- continuous state
- plan recognition
- heuristic function
- control strategy
- optimal policy
- dynamic environments
- markov chain
- multi agent