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Contributed Talks
Jie Tang · Yijie Guo · Danijar Hafner
- "Playing Dota 2 with Large Scale Deep Reinforcement Learning" - OpenAI, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyłsaw Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang
- "Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy" - Yijie Guo, Jongwook Choi, Marcin Moczulski, Samy Bengio, Mohammad Norouzi, Honglak Lee
- "Efficient Visual Control by Latent Imagination" - Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi
Author Information
Jie Tang (OpenAI)
Yijie Guo (University of Michigan)
Danijar Hafner (Google Brain & University of Toronto)
More from the Same Authors
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2021 : Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks »
Yijie Guo · Qiucheng Wu · Honglak Lee -
2021 : Learning Robust Dynamics through Variational Sparse Gating »
Arnav Kumar Jain · Shivakanth Sujit · Shruti Joshi · Vincent Michalski · Danijar Hafner · Samira Ebrahimi Kahou -
2021 : Benchmarking the Spectrum of Agent Capabilities »
Danijar Hafner -
2022 : Learning Exploration Policies with View-based Intrinsic Rewards »
Yijie Guo · Yao Fu · Run Peng · Honglak Lee -
2022 : Guiding Exploration Towards Impactful Actions »
Vaibhav Saxena · Jimmy Ba · Danijar Hafner -
2022 : Evaluating Long-Term Memory in 3D Mazes »
Jurgis Pašukonis · Timothy Lillicrap · Danijar Hafner -
2022 : Danijar Hafner »
Danijar Hafner -
2022 Poster: Deep Hierarchical Planning from Pixels »
Danijar Hafner · Kuang-Huei Lee · Ian Fischer · Pieter Abbeel -
2022 Poster: Learning Robust Dynamics through Variational Sparse Gating »
Arnav Kumar Jain · Shivakanth Sujit · Shruti Joshi · Vincent Michalski · Danijar Hafner · Samira Ebrahimi Kahou -
2021 : Benchmarking the Spectrum of Agent Capabilities Q&A »
Danijar Hafner -
2021 : Benchmarking the Spectrum of Agent Capabilities »
Danijar Hafner -
2021 Poster: Discovering and Achieving Goals via World Models »
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak -
2021 Poster: Clockwork Variational Autoencoders »
Vaibhav Saxena · Jimmy Ba · Danijar Hafner -
2021 Poster: Information is Power: Intrinsic Control via Information Capture »
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine -
2020 : Contributed Talk #2: Evaluating Agents Without Rewards »
Brendon Matusch · Danijar Hafner · Jimmy Ba -
2020 Poster: Predictive Information Accelerates Learning in RL »
Kuang-Huei Lee · Ian Fischer · Anthony Liu · Yijie Guo · Honglak Lee · John Canny · Sergio Guadarrama -
2020 Poster: Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards »
Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 Poster: Bayesian Layers: A Module for Neural Network Uncertainty »
Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner -
2018 Poster: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee -
2018 Oral: Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion »
Jacob Buckman · Danijar Hafner · George Tucker · Eugene Brevdo · Honglak Lee -
2017 Workshop: Deep Learning at Supercomputer Scale »
Erich Elsen · Danijar Hafner · Zak Stone · Brennan Saeta -
2017 Poster: Learning Hierarchical Information Flow with Recurrent Neural Modules »
Danijar Hafner · Alexander Irpan · James Davidson · Nicolas Heess -
2016 Poster: Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision »
Xinchen Yan · Jimei Yang · Ersin Yumer · Yijie Guo · Honglak Lee