Measuring and Mitigating Interference in Reinforcement Learning.
Vincent LiuHan WangRuo Yu TaoKhurram JavedAdam WhiteMartha WhitePublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- state space
- reinforcement learning algorithms
- function approximation
- multipath
- learning agents
- model free
- multi agent
- direct policy search
- machine learning
- robotic control
- power line
- markov decision process
- learning classifier systems
- markov decision processes
- optimal policy
- learning process
- optimal control
- risk management
- temporal difference
- control problems
- evolutionary algorithm
- temporal difference learning
- multi agent reinforcement learning
- knowledge base
- genetic algorithm