Reinforcement Learning in Configurable Continuous Environments.
Alberto Maria MetelliEmanuele GhelfiMarcello RestelliPublished in: ICML (2019)
Keyphrases
- reinforcement learning
- function approximation
- continuous state spaces
- state space
- action space
- learning algorithm
- dynamic environments
- continuous state and action spaces
- machine learning
- multi agent
- temporal difference
- markov decision processes
- case study
- multi agent environments
- continuous state
- fitted q iteration
- robotic control
- reinforcement learning algorithms
- real time
- highly dynamic
- model free
- robotic systems
- dynamic programming
- learning process
- knowledge base
- data mining
- real world
- neural network