Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints.
Kazumi KasauraShuwa MiuraTadashi KozunoRyo YonetaniKenta HoshinoYohei HosoePublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- reinforcement learning algorithms
- actor critic
- reinforcement learning
- temporal difference
- optimal control
- model free
- state space
- action selection
- policy gradient
- markov decision processes
- reinforcement learning methods
- control problems
- reinforcement learning problems
- temporal difference learning
- function approximation
- action space
- reward function
- stochastic games
- learning algorithm
- policy iteration
- adaptive control
- dynamic environments
- state action
- control system
- radial basis function
- learning tasks
- machine learning
- neural network