Variable-Agnostic Causal Exploration for Reinforcement Learning.
Minh Hoang NguyenHung LeSvetha VenkateshPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- model based reinforcement learning
- exploration exploitation
- action selection
- function approximation
- learning algorithm
- state space
- markov blanket
- causal networks
- causal relationships
- markov decision processes
- causal models
- multi agent
- autonomous learning
- exploration exploitation tradeoff
- causal inference
- transition model
- model free
- reinforcement learning algorithms
- dynamic programming
- partially observable
- neural network
- learning classifier systems
- causal structure
- learning problems
- probabilistic model
- learning process
- causal theories
- bayesian networks
- machine learning
- balancing exploration and exploitation
- data mining