Provably Efficient Causal Reinforcement Learning with Confounded
Observational Data

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data

22 June 2020

Papers citing "Provably Efficient Causal Reinforcement Learning with Confounded Observational Data"

13 / 13 papers shown

Title
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Hao-ming Lin Wenhao Ding Jian Chen Laixi Shi Jiacheng Zhu Bo-wen Li Ding Zhao OffRL CML 52 0 0 15 Jul 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators Ori Linial Guy Tennenholtz Uri Shalit OffRL 36 1 0 30 Jun 2024
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 16 6 0 01 Jun 2023
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 20 0 0 23 Dec 2022
Offline Policy Evaluation and Optimization under Confounding Chinmaya Kausik Yangyi Lu Kevin Tan Maggie Makar Yixin Wang Ambuj Tewari OffRL 18 8 0 29 Nov 2022
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Q. Zhang CML OffRL 18 5 0 28 Nov 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process C. Shi Jin Zhu Ye Shen S. Luo Hong Zhu R. Song OffRL 23 30 0 22 Feb 2022
Reinforcement Learning of Causal Variables Using Mediation Analysis Tue Herlau Rasmus Larsen OOD CML 26 8 0 29 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference Chengxi Li Stanley H. Chan Yi-Ting Chen CML 76 51 0 05 Mar 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang S. Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 25 33 0 05 Feb 2020
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,326 0 05 Jun 2016