Causal Reinforcement Learning: A Survey.
Zhihong DengJing JiangGuodong LongChengqi ZhangPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- state space
- optimal policy
- causal reasoning
- reinforcement learning algorithms
- model free
- causal models
- robotic control
- multi agent reinforcement learning
- action selection
- bayesian networks
- multi agent
- experimental data
- temporal difference learning
- real robot
- partially observable
- learning process
- dynamic programming
- causal relationships
- optimal control
- markov decision processes
- temporal difference
- probability distribution
- data sets
- directed acyclic graph
- learning agents
- stochastic approximation
- causal networks
- causal inference
- decision making