Discovering Reinforcement Learning Algorithms.
Junhyuk OhMatteo HesselWojciech M. CzarneckiZhongwen XuHado van HasseltSatinder SinghDavid SilverPublished in: CoRR (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- markov decision processes
- model free
- learning algorithm
- reinforcement learning problems
- function approximation
- eligibility traces
- reinforcement learning methods
- policy search
- reward function
- dynamic environments
- temporal difference
- partially observable environments
- reward shaping
- search space
- tabula rasa
- policy gradient
- stochastic games
- function approximators
- monte carlo
- optimal policy
- machine learning algorithms
- decision making