Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.
Ted XiaoEric JangDmitry KalashnikovSergey LevineJulian IbarzKarol HausmanAlexander HerzogPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- control problems
- optimal control
- action selection
- artificial intelligence
- function approximation
- temporal difference learning
- control theory
- robot control
- control method
- control strategy
- robotic control
- control strategies
- markov decision processes
- state space
- control system
- machine learning
- real time
- least squares
- dynamic programming
- reinforcement learning algorithms
- hidden markov models
- learning process
- moving objects
- robot motion