Learning Actionable Representations with Goal-Conditioned Policies

19 November 2018

Abhishek Gupta

Papers citing "Learning Actionable Representations with Goal-Conditioned Policies"

30 / 30 papers shown

Title
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
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 1 0 30 May 2024
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 51 3 0 23 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 43 13 0 31 Aug 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 37 4 0 16 Jul 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 26 21 0 26 May 2023
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 14 0 27 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 30 81 0 19 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 26 19 0 17 Aug 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 23 35 0 20 Jun 2022
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision Henghui Zhao Isma Hadji Nikita Dvornik Konstantinos G. Derpanis Richard P. Wildes Allan D. Jepson 28 45 0 04 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 26 27 0 27 Apr 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 31 170 0 20 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 29 41 0 04 Nov 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Anton van den Hengel 33 32 0 12 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 92 0 14 Sep 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 19 6 0 04 Aug 2021
Learning to See before Learning to Act: Visual Pre-training for Manipulation Yen-Chen Lin Andy Zeng Shuran Song Phillip Isola Nayeon Lee SSL 16 87 0 01 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 70 0 25 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 20 4 0 03 Jun 2021
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 203 0 04 Oct 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 24 1 0 21 May 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 19 4 0 13 Feb 2020
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 27 4 0 21 Dec 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 17 53 0 25 Aug 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 27 85 0 10 Jun 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 32 26 0 28 Jan 2019