Playing hard exploration games by watching YouTube

29 May 2018

David Budden

Papers citing "Playing hard exploration games by watching YouTube"

50 / 51 papers shown

Title
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 34 8 0 25 May 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation Jun Wang Yuzhe Qin Kaiming Kuang Yigit Korkmaz Akhilan Gurumoorthy Hao Su Xiaolong Wang 43 19 0 22 Feb 2024
Enhancing Reinforcement Learning Agents with Local Guides Paul Daoudi Bogdan Robu Christophe Prieur Ludovic Dos Santos M. Barlier OnRL 26 3 0 21 Feb 2024
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 26 30 0 17 Dec 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 28 24 0 29 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 20 20 0 26 May 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 33 17 0 02 Jan 2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking David Zhang Micah Carroll Andreea Bobu Anca Dragan 22 4 0 30 Nov 2022
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets David Venuto Sherry Yang Pieter Abbeel Doina Precup Igor Mordatch Ofir Nachum OffRL 22 5 0 23 Nov 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans Minttu Alakuijala Gabriel Dulac-Arnold Julien Mairal Jean Ponce Cordelia Schmid OffRL 32 26 0 16 Nov 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 17 3 0 14 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 27 53 0 28 Jul 2022
Aligning Robot Representations with Humans Andreea Bobu Andi Peng 24 0 0 15 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 323 0 02 May 2022
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation Yuzhe Qin Hao Su Xiaolong Wang 17 98 0 26 Apr 2022
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance Yueh-hua Wu Jiashun Wang Xiaolong Wang 21 55 0 05 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 116 0 25 Mar 2022
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 43 13 0 14 Oct 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos Yuzhe Qin Yueh-hua Wu Shaowei Liu Hanwen Jiang Ruihan Yang Yang Fu Xiaolong Wang 125 188 0 12 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 73 28 0 13 Jul 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 15 62 0 17 Jun 2021
Applied Machine Learning for Games: A Graduate School Course Yilei Zeng Aayush Shah Jameson Thai M. Zyda AI4CE 9 3 0 30 Nov 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 21 14 0 18 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 14 5 0 12 Jul 2020
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 17 25 0 01 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 108 0 23 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 18 124 0 08 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 35 139 0 30 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 38 348 0 27 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 13 121 0 07 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 13 508 0 30 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 12 2 0 16 Mar 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 22 100 0 21 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 30 12 0 15 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 27 60 0 30 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 31 188 0 23 Dec 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 15 18 0 05 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 18 2 0 27 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 27 253 0 19 Jun 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 22 115 0 28 Mar 2019
Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning Saket Tiwari M. Prannoy 6 2 0 04 Dec 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 28 392 0 19 Nov 2018
Episodic Curiosity through Reachability Nikolay Savinov Anton Raichuk Raphaël Marinier Damien Vincent Marc Pollefeys Timothy Lillicrap Sylvain Gelly 9 266 0 04 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 16 2 0 01 Oct 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 14 8 0 10 Sep 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 22 212 0 20 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 18 7 0 01 Jun 2018