Reinforcement Learning with Inertial Exploration.
Dany BergeronCharles DesjardinsJulien LaumonierBrahim Chaib-draaPublished in: IAT (2007)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- model based reinforcement learning
- exploration exploitation
- autonomous learning
- markov decision processes
- dynamic model
- learning algorithm
- machine learning
- state space
- exploration exploitation tradeoff
- temporal difference learning
- function approximation
- robotic control
- reinforcement learning algorithms
- action space
- learning problems
- temporal difference
- partially observable
- learning agents
- model free
- stochastic approximation
- multi agent reinforcement learning
- search strategies
- monte carlo
- optimal policy
- decision making