Risk-aware path planning using hirerachical constrained Markov Decision Processes.
Seyedshams FeyzabadiStefano CarpinPublished in: CASE (2014)
Keyphrases
- path planning
- markov decision processes
- risk sensitive
- mobile robot
- state space
- multi robot
- collision avoidance
- path planning algorithm
- optimal policy
- dynamic environments
- finite state
- reinforcement learning
- motion planning
- planning under uncertainty
- obstacle avoidance
- decision theoretic planning
- optimal path
- transition matrices
- partially observable
- policy iteration
- autonomous vehicles
- dynamic programming
- robot path planning
- dynamic and uncertain environments
- infinite horizon
- average cost
- model based reinforcement learning
- multiple robots
- potential field
- markov decision process
- aerial vehicles
- action sets
- path finding
- decision making
- average reward
- action space