Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander David GoldieChris LuMatthew Thomas JacksonShimon WhitesonJakob Nicolaus FoersterPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- function approximation
- global optimization
- optimization algorithm
- learning algorithm
- optimization process
- optimization method
- discrete optimization
- optimization methods
- supervised learning
- multi agent
- information systems
- data mining
- state space
- error prone
- optimal control
- evolution strategy
- model free
- temporal difference
- unsupervised manner
- data sets