The Risks of Invariant Risk Minimization
https://arxiv.org/abs/2010.05761
https://arxiv.org/abs/2010.05761
Forwarded from Just links
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning https://openreview.net/forum?id=SK7A5pdrgov
OpenReview
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure...
Despite recent successes of reinforcement learning (RL), it remains a challenge for agents to transfer learned skills to related environments. To facilitate research addressing this problem, we...
A comparative study of counterfactual estimators
https://arxiv.org/abs/1704.00773
https://arxiv.org/abs/1704.00773
Learning Invariant Representations for Reinforcement Learning without Reconstruction
https://arxiv.org/abs/2006.10742
https://arxiv.org/abs/2006.10742
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
https://openreview.net/forum?id=ryxWIgBFPS
https://openreview.net/forum?id=ryxWIgBFPS
OpenReview
A Meta-Transfer Objective for Learning to Disentangle Causal...
This paper proposes a meta-learning objective based on speed of adaptation to transfer distributions to discover a modular decomposition and causal variables.
Invariant Causal Prediction for Block MDPs
https://arxiv.org/abs/2003.06016
https://arxiv.org/abs/2003.06016
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
https://arxiv.org/abs/1811.06272
https://arxiv.org/abs/1811.06272
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
https://arxiv.org/abs/2010.03110
https://arxiv.org/abs/2010.03110
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
https://arxiv.org/abs/1904.02826
https://arxiv.org/abs/1904.02826
Forwarded from Recent AI News
inFERENCe: Notes on Causally Correct Partial Models https://www.inference.vc/notes-on-causally-correct-partial-models-2/
inFERENCe
Notes on Causally Correct Partial Models
I recently encountered this cool paper in a reading group presentation:
* Rezende et al (2020) Rezende Causally Correct Partial Models for
Reinforcement Learning [https://arxiv.org/abs/2002.02836v1]
It's frankly taken me a long time to understand what…
* Rezende et al (2020) Rezende Causally Correct Partial Models for
Reinforcement Learning [https://arxiv.org/abs/2002.02836v1]
It's frankly taken me a long time to understand what…
On Causal and Anticausal Learning
https://arxiv.org/abs/1206.6471
https://arxiv.org/abs/1206.6471
arXiv.org
On Causal and Anticausal Learning
We consider the problem of function estimation in the case where an underlying causal model can be inferred. This has implications for popular scenarios such as covariate shift, concept drift,...