Interpretable Reward Redistribution in Reinforcement Learning: A Causal
Approach

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

28 May 2023

Jun Wang

Mykola Pechenizkiy

Papers citing "Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach"

14 / 14 papers shown

Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models Xiaobao Wu LRM 72 1 0 05 May 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation Wenzhang Liu Lianjun Jin Lu Ren Chaoxu Mu Changyin Sun CML 50 0 0 24 Jan 2025
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu Yuhang Jiang Boyuan Wang Yixiu Mao Cheems Wang Chang-Shu Liu Xiangyang Ji 80 2 0 10 Jan 2025
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch Jiaqi Zhang Caroline Uhler CML OOD 51 1 0 31 Oct 2024
Personalisation via Dynamic Policy Fusion Ajsal Shereef Palattuparambil Thommen George Karimpanal Santu Rana 31 0 0 30 Sep 2024
Variable-Agnostic Causal Exploration for Reinforcement Learning Minh Hoang Nguyen Hung Le Svetha Venkatesh CML 35 2 0 17 Jul 2024
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 54 0 0 15 Jul 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 91 21 0 14 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 36 0 0 06 Feb 2024
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang Yali Du Yudi Zhang Meng Fang Biwei Huang OffRL 31 1 0 06 Dec 2023
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning Sirui Chen Zhaowei Zhang Yaodong Yang Yali Du 23 4 0 15 Apr 2023
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Learning Guidance Rewards with Trajectory-space Smoothing Tanmay Gangwani Yuanshuo Zhou Jian Peng 26 33 0 23 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,631 0 02 Feb 2020