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Weakly-Supervised Reinforcement Learning for Controllable Behavior

6 April 2020

Papers citing "Weakly-Supervised Reinforcement Learning for Controllable Behavior"

50 / 68 papers shown

Title
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,836 0 13 Dec 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 83 250 0 06 Nov 2019
RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari F. Ebert Stephen Tian Suraj Nair Bernadette Bucher Karl Schmeckpeper Siddharth Singh Sergey Levine Chelsea Finn LM&Ro 89 304 0 24 Oct 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 124 139 0 22 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 106 448 0 02 Oct 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 55 24 0 05 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 87 382 0 01 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 41 56 0 27 Jun 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 123 248 0 12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 78 293 0 12 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 70 90 0 10 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 88 288 0 06 Jun 2019
Weakly Supervised Disentanglement by Pairwise Similarities Junxiang Chen Kayhan Batmanghelich CoGe DRL 44 53 0 03 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 85 210 0 29 May 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering Avi Singh Larry Yang Kristian Hartikainen Chelsea Finn Sergey Levine SSL OffRL 83 267 0 16 Apr 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 80 358 0 12 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 100 277 0 08 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 142 868 0 01 Mar 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 61 42 0 14 Feb 2019
InfoBot: Transfer and Exploration via the Information Bottleneck Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed M. Botvinick Hugo Larochelle Yoshua Bengio Sergey Levine OffRL 87 167 0 30 Jan 2019
Self-supervised Learning of Image Embedding for Continuous Control Carlos Florensa Jonas Degrave N. Heess Jost Tobias Springenberg Martin Riedmiller SSL 55 53 0 03 Jan 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 81 304 0 06 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 111 480 0 05 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 134 1,473 0 29 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 92 1,448 0 12 Nov 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation Mehdi Letafati Yuke Zhu Animesh Garg Jonathan Booher Max Spero ... John Emmons Anchit Gupta Emre Orbay Silvio Savarese Li Fei-Fei OffRL 93 293 0 07 Nov 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 68 111 0 02 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 68 211 0 02 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 93 70 0 30 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 63 42 0 28 Aug 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 86 544 0 12 Jul 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 101 1,863 0 31 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 55 125 0 29 May 2018
Zero-Shot Visual Imitation Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Yide Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell LM&Ro 118 301 0 23 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 86 169 0 06 Apr 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 76 383 0 01 Mar 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 116 240 0 25 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 64 1,356 0 16 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 61 447 0 14 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
IQA: Visual Question Answering in Interactive Environments Daniel Gordon Aniruddha Kembhavi Mohammad Rastegari Joseph Redmon Dieter Fox Ali Farhadi LM&Ro 93 391 0 09 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 153 1,782 0 05 Dec 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 322 887 0 11 Nov 2017
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 84 399 0 08 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 757 0 30 Oct 2017
Independently Controllable Factors Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio CML 65 69 0 03 Aug 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 280 2,339 0 05 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,365 0 12 Jun 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 72 92 0 18 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 109 515 0 17 May 2017