Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.
Wenhao DingHaohong LinBo LiDing ZhaoPublished in: CoRR (2022)
Keyphrases
- causal reasoning
- reinforcement learning
- causal models
- state space
- directed acyclic graph
- image segmentation
- function approximation
- learning algorithm
- general purpose
- optimal control
- multi agent
- temporal difference
- machine learning
- mobile robot
- markov decision processes
- pairwise
- artificial intelligence
- model free
- reinforcement learning algorithms