Title
Real Robot Challenge: A Robotics Competition in the Cloud Stefan Bauer Felix Widmaier M. Wuthrich Annika Buchholz Sebastian Stark ... David Córdova Bulens Kevin McGuinness Noel E. O'Connor S. Redmond Bernhard Schölkopf 35 12 0 22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 128 0 14 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 44 0 07 Sep 2021
Temporal Shift Reinforcement Learning Deep Thomas Tichakorn Wongpiromsarn Ali Jannesari OffRL 31 0 0 05 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... Chenxi Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 156 159 0 06 Aug 2021
Reinforced Imitation Learning by Free Energy Principle Ryoya Ogishima Izumi Karino Yasuo Kuniyoshi 27 0 0 25 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 338 0 20 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 27 37 0 17 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 33 49 0 16 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 104 0 14 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
Imitation by Predicting Observations Andrew Jaegle Yury Sulsky Arun Ahuja Jake Bruce Rob Fergus Greg Wayne 29 12 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding Grace Zhang Li Zhong Youngwoon Lee Joseph J. Lim 33 15 0 01 Jul 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 26 5 0 30 Jun 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Habitat 2.0: Training Home Assistants to Rearrange their Habitat Andrew Szot Alexander Clegg Eric Undersander Erik Wijmans Yili Zhao ... Z. Kira V. Koltun Jitendra Malik Manolis Savva Dhruv Batra LM&Ro 39 502 0 28 Jun 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning Yue Zhao Chenzhuang Du Hang Zhao Tiejun Li SSL 21 4 0 26 Jun 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 48 355 0 24 Jun 2021
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information Franck Djeumou Ufuk Topcu 11 4 0 19 Jun 2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments Abdus Salam Azad Edward Kim M. Wu Kimin Lee Ion Stoica Pieter Abbeel S. Seshia 28 7 0 18 Jun 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 33 64 0 17 Jun 2021
Towards Automatic Actor-Critic Solutions to Continuous Control J. E. Grigsby Jinsu Yoo Yanjun Qi OffRL 25 6 0 16 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses Buse G. A. Tekgul Shelly Wang Samuel Marchal Nadarajah Asokan AAML OffRL 20 5 0 16 Jun 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning A. Abdolmaleki Sandy H. Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg ... András Gyorgy Csaba Szepesvári R. Hadsell N. Heess Martin Riedmiller OffRL 27 5 0 15 Jun 2021
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer Felipe Bezerra Martins Mateus G. Machado H. Bassani Pedro H. M. Braga Edna N. S. Barros 30 14 0 15 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 32 57 0 14 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 31 6 0 09 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 24 275 0 09 Jun 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 42 15 0 09 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 25 46 0 08 Jun 2021
Learning Routines for Effective Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan 14 1 0 05 Jun 2021
Differentiable Architecture Search for Reinforcement Learning Yingjie Miao Xingyou Song John D. Co-Reyes Daiyi Peng Summer Yue E. Brevdo Aleksandra Faust 20 4 0 04 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 25 21 0 02 Jun 2021
Discovering Diverse Nearly Optimal Policies with Successor Features Tom Zahavy Brendan O'Donoghue André Barreto Volodymyr Mnih Sebastian Flennerhag Satinder Singh 28 20 0 01 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 22 121 0 31 May 2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture Chin-Jui Chang Yu-Wei Chu Chao-Hsien Ting Hao-Kang Liu Zhang-Wei Hong Chun-Yi Lee AI4CE 23 1 0 30 May 2021
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet Xintong Yang Ze Ji Jing Wu Yu-Kun Lai 24 15 0 12 May 2021
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions Taisei Hashimoto Yoshimasa Tsuruoka 24 0 0 07 May 2021
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization Artemij Amiranashvili Max Argus Lukás Hermann Wolfram Burgard Thomas Brox 22 3 0 29 Apr 2021
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael Ruogu Zhang T. Paine Ofir Nachum Cosmin Paduraru George Tucker Ziyun Wang Mohammad Norouzi OffRL 30 45 0 28 Apr 2021
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning M. Sharif Deniz Erdogmus Chris Amato T. Padır 27 2 0 26 Apr 2021
A learning gap between neuroscience and reinforcement learning Samuel T. Wauthier Pietro Mazzaglia Ozan Çatal Cedric De Boom Tim Verbelen Bart Dhoedt 19 3 0 22 Apr 2021
Auto-Tuned Sim-to-Real Transfer Yuqing Du Olivia Watkins Trevor Darrell Pieter Abbeel Deepak Pathak 27 69 0 15 Apr 2021
Data-Driven Reinforcement Learning for Virtual Character Animation Control V. Gamage Cathy Ennis Robert J Ross AI4CE 6 0 0 13 Apr 2021