Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown

Title
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 32 146 0 15 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision Unnat Jain Iou-Jen Liu Svetlana Lazebnik Aniruddha Kembhavi Luca Weihs A. Schwing 28 23 0 14 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu Donglin Wang Qiangxing Tian Zhengyu Chen 29 23 0 11 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 34 37 0 07 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
Active Inference Tree Search in Large POMDPs D. Maisto F. Gregoretti Karl J. Friston G. Pezzulo AI4CE 26 1 0 25 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 28 19 0 13 Mar 2021
Learning for Visual Navigation by Imagining the Success M. Moghaddam Ehsan Abbasnejad Qi Wu Javen Qinfeng Shi Anton Van Den Hengel 11 3 0 28 Feb 2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory Jason Ramapuram Yan Wu Alexandros Kalousis 9 4 0 20 Feb 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 29 121 0 18 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 13 17 0 10 Feb 2021
Sparse Reward Exploration via Novelty Search and Emitters Giuseppe Paolo Alexandre Coninx Stéphane Doncieux Alban Laflaquière 45 19 0 05 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 82 76 0 13 Jan 2021
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation K. Balakrishnan Punarjay Chakravarty Shubham Shrivastava 17 6 0 05 Jan 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
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 23 125 0 21 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 29 85 0 17 Dec 2020
Intrinsically Motivated Compositional Language Emergence Rishi Hazra Sonu Dixit Sayambhu Sen 11 1 0 09 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 9 41 0 04 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems Emilio Cartoni Davide Montella Jochen Triesch Gianluca Baldassarre Institute of Cognitive Sciences 22 1 0 27 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 12 166 0 26 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 17 72 0 25 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 32 210 0 14 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 30 13 0 13 Nov 2020
Planning under Uncertainty to Goal Distributions Adam Conkey Tucker Hermans 21 3 0 09 Nov 2020
Generalization to New Actions in Reinforcement Learning Ayush Jain Andrew Szot Joseph J. Lim AI4CE 33 34 0 03 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 37 15 0 03 Nov 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 11 66 0 27 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 19 25 0 22 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 51 56 0 19 Oct 2020
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning Jiancong Huang Juan Rojas Matthieu Zimmer Hongmin Wu Y. Guan Paul Weng SSL 13 8 0 16 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 24 38 0 13 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 17 9 0 03 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 18 44 0 02 Oct 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 36 37 0 16 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 20 12 0 10 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 16 5 0 05 Aug 2020
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning A. Viitala Rinu Boney Yi Zhao Alexander Ilin Arno Solin OffRL 14 7 0 03 Aug 2020
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective Simeng Bian Xi Huang Ziyu Shao Xin Gao Yang Yang 29 10 0 01 Aug 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 27 64 0 14 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 21 85 0 06 Jul 2020
Video Prediction via Example Guidance Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Trevor Darrell AI4TS 35 17 0 03 Jul 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry Clément Moulin-Frier Pierre-Yves Oudeyer 4 23 0 02 Jul 2020
ELSIM: End-to-end learning of reusable skills through intrinsic motivation A. Aubret L. Matignon S. Hassas 18 5 0 23 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 24 81 0 20 Jun 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 19 105 0 19 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 21 16 0 13 Jun 2020