POETREE: Interpretable Policy Learning with Adaptive Decision Trees

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POETREE: Interpretable Policy Learning with Adaptive Decision Trees

International Conference on Learning Representations (ICLR), 2022

15 March 2022

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Papers citing "POETREE: Interpretable Policy Learning with Adaptive Decision Trees"

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Title
Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language Models Zhaoxin Li Zhang Xi-Jia Batuhan Altundas Letian Chen Rohan R. Paleja Matthew C. Gombolay OffRL 276 0 0 20 Mar 2025
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications Fabian Baldenweg Manuel Burger Gunnar Rätsch Rita Kuznetsova AI4TS 215 5 0 27 Mar 2024
Dense Reward for Free in Reinforcement Learning from Human Feedback Alex J. Chan Hao Sun Samuel Holt M. Schaar 236 59 0 01 Feb 2024
Optimising Human-AI Collaboration by Learning Convincing Explanations Alex J. Chan Alihan Huyuk M. Schaar 182 4 0 13 Nov 2023
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation LearningInternational Conference on Machine Learning (ICML), 2023 J. Deuschel Caleb N. Ellington Yingtao Luo Benjamin J. Lengerich Pascal Friederich Eric Xing OffRL 353 5 0 11 Oct 2023
Tree Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2023 Laura Manduchi Moritz Vandenhirtz Alain Ryser Julia E. Vogt BDL DRL 183 11 0 15 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden ConfoundingInternational Conference on Learning Representations (ICLR), 2023 Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 165 8 0 01 Jun 2023
Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes Adam Dejl Harsh Deep Jonathan Fei A. Saeedi Li-wei H. Lehman TPM 120 1 0 14 Nov 2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 154 4 0 11 Nov 2022
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble LearningNeural Information Processing Systems (NeurIPS), 2022 Alex J. Chan M. Schaar OOD 145 3 0 11 Oct 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision TreesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 468 13 0 15 Sep 2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary PoliciesInternational Conference on Learning Representations (ICLR), 2022 Alex J. Chan Alicia Curth M. Schaar CML OffRL 156 8 0 14 Mar 2022
A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021 Claire Glanois Paul Weng Matthieu Zimmer Dong Li Zhenxing Ge Jianye Hao Wulong Liu OffRL 258 142 0 24 Dec 2021