Title
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation Marvin Chancán Michael Milford SSL 33 8 0 02 Mar 2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation Junfeng Fang Vihan Jain Eugene Ie William Yang Wang Zornitsa Kozareva Sujith Ravi LM&Ro 43 63 0 01 Mar 2020
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks Xingyu Sha Jiaqi Zhang Keyou You Kaipeng Zhang Tamer Basar OffRL 6 22 0 01 Mar 2020
A Self-Tuning Actor-Critic Algorithm Tom Zahavy Zhongwen Xu Vivek Veeriah Matteo Hessel Junhyuk Oh H. V. Hasselt David Silver Satinder Singh 28 13 0 28 Feb 2020
On Catastrophic Interference in Atari 2600 Games W. Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle 18 26 0 28 Feb 2020
Towards Modular Algorithm Induction Daniel A. Abolafia Rishabh Singh Manzil Zaheer Charles Sutton 9 2 0 27 Feb 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 13 170 0 27 Feb 2020
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games Edward Hughes Thomas W. Anthony Tom Eccles Joel Z Leibo David Balduzzi Yoram Bachrach 14 20 0 27 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 18 86 0 25 Feb 2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat Rémi Munos Jean-Baptiste Lespiau Shayegan Omidshafiei Mark Rowland ... David Balduzzi Bart De Vylder Georgios Piliouras Marc Lanctot K. Tuyls 12 84 0 19 Feb 2020
Value-driven Hindsight Modelling A. Guez Fabio Viola T. Weber Lars Buesing Steven Kapturowski Doina Precup David Silver N. Heess OffRL 32 12 0 19 Feb 2020
Adaptive Experience Selection for Policy Gradient S. Mohamad Giovanni Montana 39 0 0 17 Feb 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 28 291 0 14 Feb 2020
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems Siyuan Zhuang Zhuohan Li Danyang Zhuo Stephanie Wang Eric Liang Robert Nishihara Philipp Moritz Ion Stoica 27 23 0 13 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 20 80 0 06 Feb 2020
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam 53 33 0 03 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 34 441 0 31 Jan 2020
Towards Learning Multi-agent Negotiations via Self-Play Yichuan Tang 25 33 0 28 Jan 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors Raphael Köster Dylan Hadfield-Menell Gillian K. Hadfield Joel Z Leibo 8 10 0 25 Jan 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 29 60 0 22 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,175 0 19 Jan 2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback Baicen Xiao Qifan Lu Bhaskar Ramasubramanian Andrew Clark L. Bushnell Radha Poovendran 13 25 0 19 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 15 13 0 17 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 25 174 0 09 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Direct and indirect reinforcement learning Yang Guan Shengbo Eben Li Jingliang Duan Jie Li Yangang Ren Qi Sun B. Cheng OffRL 38 34 0 23 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 39 4 0 21 Dec 2019
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye Zhao Liu Mingfei Sun Bei Shi P. Zhao ... Tengfei Shi Liang Wang Qiang Fu Wei Yang Lanxiao Huang 29 313 0 20 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 26 2 0 20 Dec 2019
Relational Mimic for Visual Adversarial Imitation Learning Lionel Blondé Yichuan Tang Jian Zhang Russ Webb 36 0 0 18 Dec 2019
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 22 18 0 14 Dec 2019
Long-Term Planning and Situational Awareness in OpenAI Five Jonathan Raiman Susan Zhang Filip Wolski 14 10 0 13 Dec 2019
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 46 1,799 0 13 Dec 2019
Biases for Emergent Communication in Multi-agent Reinforcement Learning Tom Eccles Yoram Bachrach Guy Lever Angeliki Lazaridou T. Graepel AI4CE 19 70 0 11 Dec 2019
Zero-shot generalization using cascaded system-representations A. Malik OffRL 19 2 0 11 Dec 2019
VALAN: Vision and Language Agent Navigation L. Lansing Vihan Jain Harsh Mehta Haoshuo Huang Eugene Ie LM&Ro AI4TS 11 8 0 06 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 33 138 0 06 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 42 1,313 0 03 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 45 541 0 03 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization Jingbin Liu Xinyang Gu Shuai Liu 28 4 0 02 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo Jiahao Yao Richard Liaw Eric Liang Ion Stoica 27 15 0 30 Nov 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 35 122 0 29 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 44 205 0 25 Nov 2019
Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks J. Merel S. Tunyasuvunakool Arun Ahuja Yuval Tassa Leonard Hasenclever Vu Pham Tom Erez Greg Wayne N. Heess 36 9 0 15 Nov 2019
Compressive Transformers for Long-Range Sequence Modelling Jack W. Rae Anna Potapenko Siddhant M. Jayakumar Timothy Lillicrap RALM VLM KELM 13 623 0 13 Nov 2019