Learning General World Models in a Handful of Reward-Free Deployments

23 October 2022

Papers citing "Learning General World Models in a Handful of Reward-Free Deployments"

49 / 49 papers shown

Title
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 153 3 0 17 Feb 2025
K-level Reasoning for Zero-Shot Coordination in Hanabi Brandon Cui Hengyuan Hu Luis Pineda Jakob N. Foerster OffRL LRM 48 34 0 14 Jul 2022
The Phenomenon of Policy Churn Tom Schaul André Barreto John Quan Georg Ostrovski 67 28 0 01 Jun 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL Homanga Bharadhwaj Mohammad Babaeizadeh D. Erhan Sergey Levine 58 31 0 18 Apr 2022
BcMON: Blockchain Middleware for Offline Networks Yi-Lan Lin Zhipeng Gao Qian Wang Lanlan Rui Yang Yang OffRL 26 3 0 05 Apr 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 124 1,922 0 04 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 50 29 0 04 Apr 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 53 86 0 31 Jan 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 172 95 0 28 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller OffRL 65 27 0 27 Jan 2022
Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos Eszter Vértes Zita Marinho Gregory Farquhar Diana Borsa A. Friesen Feryal M. P. Behbahani Tom Schaul André Barreto Simon Osindero 58 7 0 08 Dec 2021
Maximum Entropy Model-based Reinforcement Learning Oleg Svidchenko A. Shpilman 36 6 0 02 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 45 69 0 29 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information Matching Hiroki Furuta Y. Matsuo S. Gu OffRL 42 102 0 19 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 55 31 0 02 Nov 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 49 134 0 28 Oct 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Shuang Qiu Jieping Ye Zhaoran Wang Zhuoran Yang OffRL 59 23 0 19 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 40 123 0 18 Oct 2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 64 37 0 08 Oct 2021
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires Bryan Lim Luca Grillotti Lorenzo Bernasconi Antoine Cully 88 28 0 16 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 43 131 0 14 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 76 119 0 31 Aug 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 72 652 0 30 Aug 2021
Learning more skills through optimistic exploration D. Strouse Kate Baumli David Warde-Farley Vlad Mnih Steven Hansen SSL 23 45 0 29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 61 104 0 23 Jul 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 95 667 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 80 1,608 0 02 Jun 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment Philip J. Ball Cong Lu Jack Parker-Holder Stephen J. Roberts OffRL 44 43 0 12 Apr 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 40 62 0 14 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 62 196 0 08 Mar 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 46 221 0 22 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 116 79 0 14 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 37 71 0 08 Feb 2021
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 45 126 0 21 Dec 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 21 24 0 12 Nov 2020
Efficient Wasserstein Natural Gradients for Reinforcement Learning Theodore H. Moskovitz Michael Arbel Ferenc Huszár Arthur Gretton 17 20 0 12 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 81 834 0 05 Oct 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 50 152 0 12 Aug 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 66 403 0 22 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 90 225 0 18 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 73 662 0 12 May 2020
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 92 1,811 0 13 Dec 2019
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 60 179 0 29 Oct 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 81 1,865 0 01 Aug 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 49 346 0 18 Dec 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 96 2,423 0 15 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 71 302 0 22 Mar 2017
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 372 16,962 0 20 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 78 2,992 0 19 Jul 2012