Title
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 101 76 0 24 Jun 2019
Neural networks with motivation Sergey A. Shuvaev Ngoc B. Tran Marcus Stephenson-Jones Yue Liu A. Koulakov 16 8 0 23 Jun 2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning Ravichandra Addanki S. Venkatakrishnan Shreyan Gupta Hongzi Mao Mohammad Alizadeh OOD OffRL 75 68 0 20 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Helen Zhou OffRL 59 105 0 19 Jun 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 64 5 0 19 Jun 2019
Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study Cam Linke Nadia M. Ady Martha White T. Degris Adam White 88 16 0 19 Jun 2019
Directed Exploration for Reinforcement Learning Z. Guo Emma Brunskill 71 12 0 18 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 69 225 0 18 Jun 2019
LPaintB: Learning to Paint from Self-Supervision Biao Jia Jonathan Brandt R. Měch Byungmoon Kim Tianyi Zhou SSL 21 12 0 17 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 59 192 0 13 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 76 228 0 13 Jun 2019
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization Tom Jurgenson E. Groshev Aviv Tamar 40 7 0 12 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 98 293 0 12 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 118 45 0 11 Jun 2019
Learning Powerful Policies by Using Consistent Dynamics Model Shagun Sodhani Anirudh Goyal T. Deleu Yoshua Bengio Sergey Levine Jian Tang OffRL 40 5 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 85 90 0 10 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang George Andriopoulos 51 45 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 78 25 0 09 Jun 2019
An Extensible Interactive Interface for Agent Design Matthew Rahtz James Fang Anca Dragan Dylan Hadfield-Menell 60 1 0 06 Jun 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators F. Ramos Rafael Possas Dieter Fox 60 158 0 04 Jun 2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL A. Vezhnevets Yuhuai Wu Rémi Leblond Joel Z Leibo AI4CE 92 17 0 04 Jun 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 104 65 0 01 Jun 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 72 36 0 31 May 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Felix Li R. McAllister Joseph E. Gonzalez Sergey Levine Francesco Borrelli Ken Goldberg OffRL 92 4 0 31 May 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 83 16 0 30 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 67 14 0 27 May 2019
Machine Learning for Fluid Mechanics Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 103 2,145 0 27 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 68 42 0 23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 67 83 0 21 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 80 24 0 20 May 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 77 51 0 18 May 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning Manan Tomar Akhil Sathuluri Balaraman Ravindran 38 4 0 17 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization Binyamin Manela Armin Biess 44 23 0 14 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 32 10 0 05 May 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 79 15 0 04 May 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 64 100 0 02 May 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 39 6 0 21 Apr 2019
Learning Manipulation Skills Via Hierarchical Spatial Attention Marcus Gualtieri Robert Platt 69 13 0 19 Apr 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 69 546 0 18 Apr 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation Benjamin Beyret A. Shafti A. Faisal 142 74 0 14 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 97 29 0 25 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 47 14 0 25 Mar 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 78 6 0 19 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 129 277 0 08 Mar 2019
Open-Sourced Reinforcement Learning Environments for Surgical Robotics Florian Richter Ryan K. Orosco Michael C. Yip OffRL 68 82 0 05 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 115 408 0 05 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments Zhizheng Zhang Jiale Chen Zhibo Chen Weiping Li OffRL 93 61 0 03 Mar 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 68 60 0 23 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 134 55 0 20 Feb 2019
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization Adarsh Sehgal Hung M. La S. Louis Hai V. Nguyen GP 84 90 0 19 Feb 2019