Latent Exploration for Reinforcement Learning.
Alberto Silvio ChiappaAlessandro Marin VargasAnn Zixiang HuangAlexander MathisPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- exploration exploitation
- action selection
- model based reinforcement learning
- function approximation
- exploration exploitation tradeoff
- markov decision processes
- optimal policy
- dynamic programming
- autonomous learning
- reinforcement learning methods
- latent variables
- model free
- state space
- reinforcement learning algorithms
- temporal difference
- machine learning
- multi agent
- active learning
- balancing exploration and exploitation
- learning algorithm
- policy search
- multi agent reinforcement learning
- optimal control
- temporal difference learning
- learning capabilities
- data sets
- supervised learning
- high dimensional
- data mining
- neural network