Disentangling causal effects for hierarchical reinforcement learning.
Oriol CorcollRaul VicentePublished in: CoRR (2020)
Keyphrases
- hierarchical reinforcement learning
- causal effects
- structural equation models
- causal relations
- linear models
- causal relationships
- reinforcement learning
- model free
- state abstraction
- causal models
- observational data
- linear model
- long run
- reward function
- average reward
- causal discovery
- probability distribution
- dynamic programming
- optical flow
- multi agent