Causal Imitation Learning via Inverse Reinforcement Learning

Kangrui Ruan, Junzhe Zhang, Xuan Di, E. Bareinboim
2/12/2026

No confident code implementation found for this paper. 3 possible matches can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Discrete Latent Plans via Semantic Skill Abstractions

100% match1 repo62026

Learning Graph Representation via Graph Entropy Maximization

100% match1 repo82026

Offline Transition Modeling via Contrastive Energy Learning

100% match2026

Improving Depth Completion via Depth Feature Upsampling

100% match1 repo462026

Boosting Causal Discovery via Adaptive Sample Reweighting

100% match1 repo112026

Improving Adversarial Robustness via Information Bottleneck Distillation

100% match1 repo52026

Cite this paper

@article{ruan2026causal,
  title  = {Causal Imitation Learning via Inverse Reinforcement Learning},
  author = {Kangrui Ruan and Junzhe Zhang and Xuan Di and E. Bareinboim},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:381ba148f67e9f96e8cd190f84d49a51469a7231},
  journal = {ICLR 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/381ba148f67e9f96e8cd190f84d49a51469a7231.svg)](https://codeofpaper.com/paper/381ba148f67e9f96e8cd190f84d49a51469a7231)

Discussion