Measuring the Reliability of Reinforcement Learning Algorithms.
Stephanie C. Y. ChanSamuel FishmanAnoop KorattikaraJohn F. CannySergio GuadarramaPublished in: ICLR (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- markov decision processes
- state space
- reinforcement learning problems
- function approximation
- eligibility traces
- partially observable environments
- learning algorithm
- temporal difference
- reinforcement learning methods
- dynamic environments
- reward function
- stochastic games
- artificial neural networks
- policy search
- optimal policy
- cost function
- machine learning
- data mining