Title
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 35 8 0 16 Sep 2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics J. Baar Alan Sullivan Radu Cordorel Devesh K. Jha Diego Romeres D. Nikovski 116 57 0 13 Sep 2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards Hassam Sheikh Ladislau Bölöni 67 3 0 12 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 70 8 0 10 Sep 2018
Learning Adaptive Display Exposure for Real-Time Advertising Weixun Wang Junqi Jin Jianye Hao Chunjie Chen Chuan Yu ... Xiaotian Hao Yixi Wang Han Li Jian Xu Kun Gai 43 6 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 87 821 0 07 Sep 2018
Improving On-policy Learning with Statistical Reward Accumulation Yubin Deng K. Yu Dahua Lin Xiaoou Tang Chen Change Loy OffRL 31 0 0 07 Sep 2018
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark Akshat Agarwal Ryan Hope Katia Sycara OffRL 34 9 0 06 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 66 30 0 06 Sep 2018
Goal-oriented Dialogue Policy Learning from Failures Keting Lu Shiqi Zhang Xiaoping Chen OffRL 46 29 0 20 Aug 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 76 180 0 26 Jul 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 82 181 0 24 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 114 32 0 14 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 93 544 0 12 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang Mohammad Norouzi Jonathan Berant Quoc V. Le Ni Lao 128 134 0 06 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 103 155 0 06 Jul 2018
Goal-oriented Trajectories for Efficient Exploration Fabio Pardo Vitaly Levdik Petar Kormushev 31 2 0 05 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 81 88 0 04 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 177 186 0 28 Jun 2018
Adversarial Active Exploration for Inverse Dynamics Model Learning Zhang-Wei Hong Tsu-Jui Fu Tzu-Yun Shann Yi-Hsiang Chang Chun-Yi Lee 33 6 0 26 Jun 2018
Accuracy-based Curriculum Learning in Deep Reinforcement Learning Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer ODL 137 39 0 25 Jun 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 72 19 0 25 Jun 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 75 53 0 22 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 77 361 0 20 Jun 2018
Learning 6-DoF Grasping and Pick-Place Using Attention Focus Marcus Gualtieri Robert Platt 99 56 0 15 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 87 478 0 14 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 136 107 0 12 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 99 68 0 25 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 814 0 21 May 2018
Hierarchical Reinforcement Learning with Hindsight Andrew Levy Robert Platt Kate Saenko 102 84 0 21 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning Shauharda Khadka Kagan Tumer 132 232 0 21 May 2018
Reward Learning from Narrated Demonstrations H. Tung Adam W. Harley Liang-Kang Huang Katerina Fragkiadaki LM&Ro SSL 88 29 0 27 Apr 2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments Xi Chen Ali Ghadirzadeh John Folkesson Patric Jensfelt 102 44 0 27 Apr 2018
Zero-Shot Visual Imitation Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Yide Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell LM&Ro 124 301 0 23 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 79 145 0 02 Apr 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 69 20 0 19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 143 234 0 19 Mar 2018
Composable Planning with Attributes Amy Zhang Adam Lerer Sainbayar Sukhbaatar Rob Fergus Arthur Szlam 175 64 0 01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 113 450 0 28 Feb 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 89 65 0 28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 75 573 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 151 240 0 25 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Emmy Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 79 223 0 24 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 70 48 0 22 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 135 159 0 14 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 105 227 0 13 Feb 2018
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks Tae-Hoon Kim Jonghyun Choi 89 9 0 03 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 107 175 0 26 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert Platt Kate Saenko 120 79 0 04 Dec 2017