Federated reinforcement learning for robot motion planning with zero-shot generalization.
Zhenyuan YuanSiyuan XuMinghui ZhuPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- motion planning
- learning problems
- learning algorithm
- learning process
- case study
- neural network
- state space
- optimal policy
- transfer learning
- robot control
- partially observable
- markov decision processes
- action space
- temporal difference learning
- multi agent reinforcement learning
- transition model
- robotic control
- model free
- learning classifier systems
- data sources
- evolutionary algorithm
- artificial neural networks
- digital libraries
- multi agent
- machine learning