Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

27 April 2022

Philippe Hansen-Estruch

Papers citing "Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning"

22 / 22 papers shown

Title
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 75 1 0 12 Feb 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 77 0 0 03 Jan 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals Grace Liu Michael Tang Benjamin Eysenbach OffRL 40 0 0 11 Aug 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 45 7 0 24 Jun 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently Sergio Calo Anders Jonsson Gergely Neu Ludovic Schwartz Javier Segovia OT 37 1 0 06 Jun 2024
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly Hao-ming Lin Radu Corcodel Ding Zhao 40 7 0 26 Apr 2024
Learning Action-based Representations Using Invariance Max Rudolph Caleb Chuck Kevin Black Misha Lvovsky S. Niekum Amy Zhang 44 0 0 25 Mar 2024
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 28 11 0 31 Oct 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 29 5 0 26 Oct 2023
Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar Souradeep Dutta Dinesh Jayaraman James Weimer Insup Lee 38 8 0 09 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes P. S. Castro Tyler Kastner Prakash Panangaden Mark Rowland 33 4 0 05 Oct 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 28 0 0 05 Jun 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? Rui Yang Yong Lin Xiaoteng Ma Haotian Hu Chongjie Zhang Tong Zhang OffRL 21 22 0 30 May 2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base Siyu Yuan Jiangjie Chen Changzhi Sun Jiaqing Liang Yanghua Xiao Deqing Yang 39 16 0 10 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement Michael Chang Alyssa Dayan Franziska Meier Thomas L. Griffiths Sergey Levine Amy Zhang OCL OffRL 24 9 0 20 Mar 2023
A Survey of Demonstration Learning André Rosa de Sousa Porfírio Correia Luís A. Alexandre OffRL 28 17 0 20 Mar 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 41 24 0 18 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 839 0 12 Oct 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 307 0 25 Dec 2020