Self-Tuning Deep Reinforcement Learning.
Tom ZahavyZhongwen XuVivek VeeriahMatteo HesselJunhyuk OhHado van HasseltDavid SilverSatinder SinghPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- markov decision processes
- state space
- model free
- multi agent reinforcement learning
- optimal control
- control problems
- temporal difference
- optimal policy
- dynamic programming
- search algorithm
- machine learning
- monte carlo
- real robot
- deep learning
- function approximators
- temporal difference learning
- multi agent
- robotic control