Evaluating the Performance of Reinforcement Learning Algorithms.
Scott M. JordanYash ChandakDaniel CohenMengxue ZhangPhilip S. ThomasPublished in: ICML (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- markov decision processes
- state space
- reinforcement learning problems
- reward function
- reinforcement learning methods
- eligibility traces
- learning algorithm
- function approximation
- temporal difference
- stochastic games
- dynamic environments
- tabula rasa
- action space
- partially observable environments
- monte carlo
- cost function
- multiagent systems
- optimal policy
- policy search
- particle filter
- reward shaping
- data mining
- neural network