Conservative Exploration in Reinforcement Learning.
Evrard GarcelonMohammad GhavamzadehAlessandro LazaricMatteo PirottaPublished in: AISTATS (2020)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- function approximation
- exploration exploitation
- exploration exploitation tradeoff
- model based reinforcement learning
- markov decision processes
- autonomous learning
- reinforcement learning algorithms
- state space
- learning problems
- model free
- real time
- multi agent reinforcement learning
- optimal policy
- multi agent
- reward function
- information visualization
- control problems
- real robot
- robot control
- reinforcement learning methods
- learning process
- machine learning