Deep Reinforcement Learning That Matters.
Peter HendersonRiashat IslamPhilip BachmanJoelle PineauDoina PrecupDavid MegerPublished in: AAAI (2018)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- markov decision processes
- optimal policy
- temporal difference
- multi agent
- state space
- neural network
- control problems
- transfer learning
- dynamic programming
- machine learning
- supervised learning
- markov chain
- genetic algorithm
- deep architectures
- multi agent reinforcement learning
- evolutionary learning
- robotic control
- perceptual aliasing
- relational reinforcement learning
- stochastic approximation
- function approximators
- deep learning
- real robot
- databases
- data mining
- optimal control
- information retrieval
- learning algorithm
- learning process