RL-X: A Deep Reinforcement Learning Library (Not Only) for RoboCup.
Nico BohlingerKlaus DorerPublished in: RoboCup (2023)
Keyphrases
- reinforcement learning
- multi agent
- robocup soccer
- function approximation
- state space
- model free
- rl algorithms
- real robot
- control problems
- reinforcement learning algorithms
- temporal difference
- markov decision processes
- action selection
- learning algorithm
- machine learning
- learning problems
- optimal policy
- direct policy search
- continuous state
- supervised learning
- transfer learning
- robot soccer
- world cup
- partially observable domains
- robotic soccer
- markov decision problems
- complex domains
- test bed
- optimal control
- humanoid robot
- learning classifier systems
- control policy
- function approximators
- multi agent reinforcement learning
- actor critic
- td learning
- partially observable