Evolving Reinforcement Learning Algorithms.
John D. Co-ReyesYingjie MiaoDaiyi PengEsteban RealSergey LevineQuoc V. LeHonglak LeeAleksandra FaustPublished in: CoRR (2021)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- model free
- markov decision processes
- reinforcement learning methods
- temporal difference
- reinforcement learning problems
- learning algorithm
- eligibility traces
- function approximation
- policy search
- stochastic games
- reward function
- partially observable environments
- dynamic programming
- dynamic environments
- optimal policy
- infinite horizon
- multiagent reinforcement learning
- markov chain
- least squares