Visual Reinforcement Learning with Imagined Goals

12 July 2018

Papers citing "Visual Reinforcement Learning with Imagined Goals"

50 / 347 papers shown

Title
Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 21 3 0 12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL Cédric Colas Ahmed Akakzia Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 31 17 0 12 Jun 2020
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network Jiaze Sun Binod Bhattarai Tae-Kyun Kim GAN 17 10 0 11 Jun 2020
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces Miguel Jaques Michael G. Burke Timothy M. Hospedales DRL 12 20 0 02 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 20 60 0 21 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 243 0 15 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 20 0 0 13 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 397 0 12 May 2020
The Ingredients of Real-World Robotic Reinforcement Learning Henry Zhu Justin Yu Abhishek Gupta Dhruv Shah Kristian Hartikainen Avi Singh Vikash Kumar Sergey Levine OffRL 63 171 0 27 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 33 43 0 21 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding Tianshi Cao Jingkang Wang Yining Zhang S. Manivasagam LM&Ro 34 1 0 15 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 17 26 0 06 Apr 2020
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives Oliver Groth Chia-Man Hung Andrea Vedaldi Ingmar Posner OCL 14 10 0 19 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 22 2 0 16 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 20 16 0 15 Mar 2020
Sparse Graphical Memory for Robust Planning Scott Emmons Ajay Jain Michael Laskin Thanard Kurutach Pieter Abbeel Deepak Pathak 25 50 0 13 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 37 13 0 03 Mar 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 27 69 0 26 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles Isbell J. Yosinski OffRL 24 18 0 21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 22 118 0 21 Feb 2020
Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model Akira Taniguchi Y. Hagiwara T. Taniguchi T. Inamura LM&Ro 32 20 0 18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 36 12 0 15 Feb 2020
Following Instructions by Imagining and Reaching Visual Goals John D. Kanu Eadom Dessalene Xiaomin Lin Cornelia Fermuller Yiannis Aloimonos 6 7 0 25 Jan 2020
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis Tom Silver J. Tenenbaum L. Kaelbling Tomas Lozano-Perez LM&Ro 27 4 0 22 Jan 2020
Reinforcement Learning with Goal-Distance Gradient Kai Jiang X. Qin 11 0 0 01 Jan 2020
A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM) Giovanni Granato Gianluca Baldassarre AI4CE 15 1 0 31 Dec 2019
Intrinsic motivations and open-ended learning Gianluca Baldassarre AI4CE 19 8 0 31 Dec 2019
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action Cansu Sancaktar Marcel van Gerven Pablo Lanillos 14 55 0 28 Dec 2019
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 14 18 0 14 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 26 34 0 12 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 21 64 0 09 Dec 2019
Towards Better Understanding of Disentangled Representations via Mutual Information Xiaojiang Yang Wendong Bi Yitong Sun Yu Cheng Junchi Yan CML CoGe DRL 13 1 0 25 Nov 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 22 14 0 25 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 72 215 0 19 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 60 109 0 04 Nov 2019
Object-oriented state editing for HRL V. Bapst Alvaro Sanchez-Gonzalez Omar Shams Kimberly L. Stachenfeld Peter W. Battaglia Satinder Singh Jessica B. Hamrick 15 3 0 31 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 13 420 0 25 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 83 1,126 0 24 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 22 68 0 23 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 22 37 0 16 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 44 439 0 02 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 28 53 0 27 Sep 2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets Gokul Swamy S. Reddy Sergey Levine Anca Dragan 6 42 0 22 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 21 26 0 17 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 31 137 0 12 Sep 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 24 36 0 12 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 20 143 0 19 Aug 2019