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RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies.
Hao-Tien Lewis Chiang
Jasmine Hsu
Marek Fiser
Lydia Tapia
Aleksandra Faust
Published in:
IEEE Robotics Autom. Lett. (2019)
Keyphrases
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reinforcement learning
motion planning
autonomous learning
learning process
learning algorithm
optimal policy
learning agents
function approximation
state space
learning problems
path planning
action selection
temporal difference
control policy
multi agent
decision theoretic
machine learning