Evaluating the Performance of Reinforcement Learning Algorithms.
Scott M. JordanYash ChandakDaniel CohenMengxue ZhangPhilip S. ThomasPublished in: CoRR (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- model free
- markov decision processes
- reinforcement learning problems
- reinforcement learning methods
- temporal difference
- eligibility traces
- learning algorithm
- function approximation
- stochastic games
- partially observable environments
- reward function
- policy search
- dynamic programming
- multi agent
- data mining
- dynamic environments
- generative model
- linear programming
- least squares
- mobile robot
- multiagent reinforcement learning