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