Title
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 19 15 0 16 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 26 74 0 15 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 399 0 12 May 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning Rahul Singh Qinsheng Zhang Yongxin Chen OOD 15 43 0 01 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 648 0 30 Apr 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 43 140 0 30 Apr 2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee Minghao Han Lixian Zhang Jun Wang Wei Pan 16 106 0 29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 45 774 0 28 Apr 2020
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning Guillaume Matheron Nicolas Perrin Olivier Sigaud 15 18 0 24 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 21 49 0 19 Apr 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control Ted Xiao Eric Jang Dmitry Kalashnikov Sergey Levine Julian Ibarz Karol Hausman Alexander Herzog 23 37 0 13 Apr 2020
Energy Shaping Control of a CyberOctopus Soft Arm Heng-Sheng Chang Udit Halder Chia-Hsien Shih Arman Tekinalp Tejaswin Parthasarathy Ekaterina D. Gribkova Girish Chowdhary R. Gillette M. Gazzola P. Mehta 13 28 0 13 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020
Model-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI Aras R. Dargazany OffRL AI4CE 11 1 0 04 Apr 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 121 0 24 Mar 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 223 488 0 19 Mar 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 37 139 0 12 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 37 188 0 11 Mar 2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks Bohan Wu Feng Xu Zhanpeng He Abhi Gupta Peter K. Allen OffRL 23 13 0 10 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer D. Hejna Pieter Abbeel Lerrel Pinto LM&Ro 25 41 0 03 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 908 0 02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 8 43 0 01 Mar 2020
Human-like Planning for Reaching in Cluttered Environments Mohamed Hasan Matthew Warburton Wisdom C. Agboh M. Dogar Matteo Leonetti He Wang F. Mushtaq M. Mon-Williams Anthony G. Cohn 16 14 0 28 Feb 2020
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image Tae Won Kim Yeseong Park Youngbin Park I. Suh DRL OffRL 6 9 0 27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search strategies Luke Metz Niru Maheswaranathan Ruoxi Sun C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 20 46 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
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng B. Chang Marcus A. Brubaker Greg Mori Andreas M. Lehrmann 25 50 0 24 Feb 2020
On the Search for Feedback in Reinforcement Learning Ran A. Wang Karthikeya S. Parunandi Aayushman Sharma R. Goyal S. Chakravorty 16 9 0 21 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 22 282 0 19 Feb 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu ... Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang J. Peng OffRL 22 12 0 19 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 21 11 0 31 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
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 27 13 0 22 Jan 2020
Lyceum: An efficient and scalable ecosystem for robot learning Colin Summers Kendall Lowrey Aravind Rajeswaran S. Srinivasa E. Todorov 24 18 0 21 Jan 2020
Sample-based Distributional Policy Gradient Rahul Singh Keuntaek Lee Yongxin Chen 23 19 0 08 Jan 2020
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware Kirill Polzounov R. Sundar L. Redden 6 10 0 07 Jan 2020
MushroomRL: Simplifying Reinforcement Learning Research Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters OffRL 14 84 0 04 Jan 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 21 91 0 02 Jan 2020
Information Theoretic Model Predictive Q-Learning M. Bhardwaj Ankur Handa Dieter Fox Byron Boots 35 23 0 31 Dec 2019
Learning to grow: control of material self-assembly using evolutionary reinforcement learning S. Whitelam Isaac Tamblyn 11 33 0 18 Dec 2019
Parareal with a Learned Coarse Model for Robotic Manipulation Wisdom C. Agboh Oliver Grainger Daniel Ruprecht M. Dogar 19 11 0 12 Dec 2019
Learning Latent State Spaces for Planning through Reward Prediction Aaron J. Havens Ouyang Yi P. Nagarajan Yasuhiro Fujita 16 6 0 09 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 37 1,313 0 03 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks Michael Luo Jiahao Yao Richard Liaw Eric Liang Ion Stoica 24 15 0 30 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks Youngwoon Lee E. Hu Zhengyu Yang Alexander Yin Joseph J. Lim 33 122 0 17 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient K. Luck Mel Vecerík Simon Stepputtis H. B. Amor Jonathan Scholz 14 9 0 15 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 31 9 0 15 Nov 2019
Quinoa: a Q-function You Infer Normalized Over Actions Jonas Degrave A. Abdolmaleki Jost Tobias Springenberg N. Heess Martin Riedmiller 15 5 0 05 Nov 2019