Title
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation Yijiong Lin Jiancong Huang Matthieu Zimmer Juan Rojas Paul Weng 65 5 0 19 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 64 26 0 18 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 30 2 0 17 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control Lukás Hermann Max Argus Andreas Eitel Artemij Amiranashvili Wolfram Burgard Thomas Brox 79 24 0 17 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 31 15 0 10 Oct 2019
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 75 49 0 07 Oct 2019
ViP: Video Platform for PyTorch Madan Ravi Ganesh Eric Hofesmann Nathan Louis Jason J. Corso ViT 29 0 0 07 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang Yanqiu Wu Q. Vuong George Andriopoulos 36 6 0 05 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 77 59 0 04 Oct 2019
Causal Induction from Visual Observations for Goal Directed Tasks Sunjay Cauligi Yuke Zhu D. Stefan Tamara Rezk CML LRM 89 65 0 03 Oct 2019
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning Max Ploner Anand Balakrishnan Sebastian Pohl David Wingate 40 2 0 03 Oct 2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning Haotian Fu Hongyao Tang Jianye Hao Wulong Liu Chong Chen 60 3 0 30 Sep 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 81 53 0 27 Sep 2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning Tianyu Li Nathan Lambert Roberto Calandra Franziska Meier Akshara Rai 75 40 0 26 Sep 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning Yijiong Lin Jiancong Huang Matthieu Zimmer Yisheng Guan Juan Rojas Paul Weng OffRL 51 0 0 24 Sep 2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation David Watkins-Valls Jingxi Xu Nicholas R. Waytowich Peter K. Allen SSL 104 15 0 20 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 45 5 0 20 Sep 2019
Learning to Manipulate Object Collections Using Grounded State Representations Matthew Wilson Tucker Hermans SSL 104 27 0 17 Sep 2019
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 63 8 0 15 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 89 138 0 12 Sep 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 93 37 0 12 Sep 2019
A Deep Learning Approach to Grasping the Invisible Yang Yang Hengyue Liang Changhyun Choi 93 97 0 11 Sep 2019
Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers Andreas Gerken Michael Spranger 28 8 0 27 Aug 2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 67 9 0 25 Aug 2019
Universal Policies to Learn Them All Hassam Sheikh Ladislau Bölöni OffRL 25 1 0 24 Aug 2019
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 200 579 0 22 Aug 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 84 258 0 21 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 112 144 0 19 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang Fangchen Liu Hao Su 82 68 0 15 Aug 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 78 264 0 12 Aug 2019
Developing a Simple Model for Sand-Tool Interaction and Autonomously Shaping Sand Wooshik Kim Catherine Pavlov Aaron M. Johnson 46 6 0 07 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation Robin Strudel Alexander Pashevich Igor Kalevatykh Ivan Laptev Josef Sivic Cordelia Schmid 79 4 0 02 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 55 8 0 29 Jul 2019
Learning to Solve a Rubik's Cube with a Dexterous Hand Tingguang Li Weitao Xi Meng Fang Jia Xu Max Meng 48 12 0 26 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Yijie Guo Jongwook Choi Marcin Moczulski Shengyu Feng Samy Bengio Mohammad Norouzi Honglak Lee 86 10 0 24 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 103 82 0 18 Jul 2019
Composing Diverse Policies for Temporally Extended Tasks Daniel Angelov Yordan V. Hristov Michael G. Burke S. Ramamoorthy 73 18 0 18 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier Matthieu Geist Olivier Pietquin OffRL 86 6 0 18 Jul 2019
Deep Reinforcement Learning Based Robot Arm Manipulation with Efficient Training Data through Simulation Xiaowei Xing D. Chang 25 6 0 16 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo Huazhe Xu Tengyu Ma SSL 78 13 0 12 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 89 61 0 11 Jul 2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning Fabio Muratore Michael Gienger Jan Peters 73 61 0 10 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Learning a Behavioral Repertoire from Demonstrations Niels Justesen Miguel González Duque Daniel Cabarcas Jaramillo Jean-Baptiste Mouret S. Risi OffRL 31 2 0 05 Jul 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 65 24 0 05 Jul 2019
On the Weaknesses of Reinforcement Learning for Neural Machine Translation Leshem Choshen Lior Fox Zohar Aizenbud Omri Abend 131 110 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 128 414 0 02 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques Asma Ghandeharioun J. Shen Craig Ferguson Àgata Lapedriza Noah J. Jones S. Gu Rosalind W. Picard OffRL 157 343 0 30 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning Markus Wulfmeier A. Abdolmaleki Roland Hafner Jost Tobias Springenberg Michael Neunert Tim Hertweck Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller 108 27 0 26 Jun 2019