Quantifying Generalization in Reinforcement Learning.
Karl CobbeOleg KlimovChristopher HesseTaehoon KimJohn SchulmanPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- model free
- markov decision processes
- state space
- learning process
- dynamic programming
- reinforcement learning methods
- temporal difference learning
- reinforcement learning algorithms
- real time
- search space
- artificial neural networks
- learning algorithm
- support vector machine
- multi agent
- decision making
- artificial intelligence
- control problems
- real robot
- action space
- neural network