Title
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models Anirudh Vemula J. Andrew Bagnell Maxim Likhachev 57 9 0 21 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization Johannes Dornheim L. Morand Samuel Zeitvogel Tarek Iraki Norbert Link Dirk Helm 26 21 0 21 Sep 2020
Efficient Reinforcement Learning Development with RLzoo Zihan Ding Tianyang Yu Yanhua Huang Hongming Zhang Guo Li Quancheng Guo Kai Zou Hao Dong OffRL OnRL 32 6 0 18 Sep 2020
A Hybrid PAC Reinforcement Learning Algorithm A. Zehfroosh H. Tanner 31 0 0 05 Sep 2020
Multi-Loss Weighting with Coefficient of Variations R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink 160 55 0 03 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 115 11 0 30 Aug 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back Trevor A. McInroe 35 0 0 28 Aug 2020
Learning Obstacle Representations for Neural Motion Planning Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 100 35 0 25 Aug 2020
t-Soft Update of Target Network for Deep Reinforcement Learning Taisuke Kobayashi Wendyam Eric Lionel Ilboudo 133 52 0 25 Aug 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks Binyamin Manela Armin Biess 71 28 0 21 Aug 2020
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing Qiang Liu T. Han Ning Zhang Ye Wang 59 40 0 17 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 80 38 0 16 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 241 283 0 15 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 79 84 0 12 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration Heechang Ryu Hayong Shin Jinkyoo Park 60 4 0 12 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 79 12 0 10 Aug 2020
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection Xinyi Xu Tiancheng Huang Pengfei Wei Akshay Narayan Tze-Yun Leong 56 5 0 08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard Alex Church John Lloyd R. Hadsell Nathan Lepora 80 31 0 06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 54 5 0 05 Aug 2020
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 89 47 0 30 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 73 27 0 27 Jul 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 97 13 0 27 Jul 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 95 4 0 27 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation Fei Mi Xiao Lin Boi Faltings CLL 86 53 0 23 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience Replay Yangchen Pan Jincheng Mei Amir-massoud Farahmand Martha White Hengshuai Yao Mohsen Rohani Jun Luo 69 12 0 19 Jul 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Yasuhiro Fujita Kota Uenishi Avinash Ummadisingu P. Nagarajan Shimpei Masuda M. Castro 84 18 0 16 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 85 65 0 14 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric OffRL 89 16 0 13 Jul 2020
Implicit Distributional Reinforcement Learning Yuguang Yue Zhendong Wang Mingyuan Zhou OffRL 86 16 0 13 Jul 2020
Double Prioritized State Recycled Experience Replay Fanchen Bu D. Chang OffRL 40 11 0 08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 111 89 0 06 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles Travis Manderson J. A. G. Higuera Stefan Wapnick J. Tremblay Florian Shkurti David Meger Gregory Dudek 54 50 0 29 Jun 2020
Experience Replay with Likelihood-free Importance Weights Samarth Sinha Jiaming Song Animesh Garg Stefano Ermon OffRL 105 58 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 76 27 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 101 127 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 103 87 0 20 Jun 2020
NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration Shuai Han Wenbo Zhou Jing Liu Shuai Lu 43 28 0 19 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations Alexey Skrynnik A. Staroverov Ermek Aitygulov Kirill Aksenov Vasilii Davydov Aleksandr I. Panov OffRL 66 4 0 17 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 81 109 0 17 Jun 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 85 49 0 16 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration Xiang Gao J. Si Yue Wen Minhan Li He H. Huang 55 31 0 16 Jun 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Guy Bresler Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli Xian Wu 88 61 0 16 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 68 16 0 13 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia Cédric Colas Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 60 3 0 12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL Cédric Colas Ahmed Akakzia Pierre-Yves Oudeyer Mohamed Chetouani Olivier Sigaud LM&Ro 70 18 0 12 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 60 22 0 10 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 147 26 0 01 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 66 1 0 21 May 2020
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning Zhenhui Ye Yining Chen Guang-hua Song Bowei Yang Sheng Fan OffRL 75 7 0 19 May 2020