Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning

20 July 2023

Papers citing "Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning"

29 / 29 papers shown

Title
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward DaeJin Jo Sungwoong Kim D. W. Nam Taehwan Kwon Seungeun Rho Jongmin Kim Donghoon Lee OffRL 44 10 0 11 Oct 2022
Weakly Supervised Disentangled Representation for Goal-conditioned Reinforcement Learning Zhifeng Qian Mingyu You Hongjun Zhou Bin He DRL OffRL 53 7 0 28 Feb 2022
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement Ankit Goyal Arsalan Mousavian Chris Paxton Yu-Wei Chao Brian Okorn Jia Deng Dieter Fox 81 56 0 01 Feb 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 63 137 0 20 Jan 2022
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 46 17 0 02 Dec 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 71 17 0 22 Oct 2021
SORNet: Spatial Object-Centric Representations for Sequential Manipulation Wentao Yuan Chris Paxton Karthik Desingh Dieter Fox 3DPC 167 72 0 08 Sep 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 56 143 0 01 Jul 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 29 33 0 01 Jun 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 85 87 0 17 Dec 2020
ViNG: Learning Open-World Navigation with Visual Goals Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 46 92 0 17 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 44 73 0 25 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 39 14 0 13 Nov 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 154 438 0 25 Sep 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 75 1,073 0 08 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 249 10,591 0 17 Feb 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition Zhixuan Lin Yi-Fu Wu Skand Peri Weihao Sun Gautam Singh Fei Deng Jindong Jiang Sungjin Ahn BDL OCL 3DPC 132 247 0 08 Jan 2020
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 103 218 0 19 Nov 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 69 132 0 06 Oct 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 53 289 0 12 Jun 2019
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 109 1,310 0 30 Oct 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 42 267 0 04 Oct 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 66 540 0 12 Jul 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 162 5,121 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 89 238 0 25 Feb 2018
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 230 2,307 0 05 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,423 0 15 May 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 86 764 0 15 Nov 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 280 7,361 0 05 Jun 2015