rl_reach: Reproducible reinforcement learning experiments for robotic reaching tasks.
Pierre AumjaudDavid McAuliffeFrancisco J. Rodríguez LeraPhilip CardiffPublished in: Softw. Impacts (2021)
Keyphrases
- reinforcement learning
- real robot
- transfer learning
- state space
- reinforcement learning algorithms
- robotic systems
- function approximation
- markov decision processes
- manipulation tasks
- optimal policy
- complex domains
- real time
- control problems
- rl algorithms
- reinforcement learning agents
- model free
- reinforcement learning methods
- solve complex tasks
- learning agents
- machine learning
- action selection
- supervised learning
- learning process
- multi agent
- learning algorithm
- temporal difference
- mobile robot
- approximate dynamic programming
- partially observable
- autonomous robots
- optimal control
- temporal difference learning
- autonomous learning
- actor critic
- state abstraction
- transferring knowledge