Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings.
Sreehari RammohanShangqun YuBowen HeEric HsiungEric RosenStefanie TellexGeorge KonidarisPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- control problems
- perception action
- robot control
- robotic systems
- control policy
- optimal control
- robotic manipulator
- action space
- robotic control
- control strategies
- manipulation tasks
- adaptive control
- robotic arm
- robot behavior
- function approximation
- real time
- action selection
- control method
- control loop
- markov decision processes
- real robot
- reinforcement learning algorithms
- state space
- mobile robot
- multi agent
- continuous state spaces
- human operators
- autonomous robots
- continuous state and action spaces
- continuous state
- reinforcement learning methods
- reward function
- model free
- control system
- learning algorithm