Random Latent Exploration for Deep Reinforcement Learning.
Srinath MahankaliZhang-Wei HongAyush SekhariAlexander RakhlinPulkit AgrawalPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- model based reinforcement learning
- autonomous learning
- action selection
- exploration exploitation
- function approximation
- state space
- learning algorithm
- exploration exploitation tradeoff
- reinforcement learning algorithms
- model free
- learning problems
- randomly generated
- markov decision processes
- robot control
- deep learning
- learning process
- high dimensional
- neural network
- dynamical systems
- optimal policy
- multi agent reinforcement learning
- semi supervised
- bayesian networks