A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms.
Cédric ColasOlivier SigaudPierre-Yves OudeyerPublished in: RML@ICLR (2019)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- state space
- reinforcement learning problems
- temporal difference
- markov decision processes
- function approximation
- eligibility traces
- reinforcement learning methods
- policy search
- learning algorithm
- dynamic environments
- partially observable environments
- stochastic games
- neural network
- function approximators
- reward function
- search space