Deep Reinforcement Learning that Matters

19 September 2017

Papers citing "Deep Reinforcement Learning that Matters"

50 / 379 papers shown

Title
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 27 72 0 04 Jul 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulić OffRL 30 27 0 23 Jun 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning Eivind Meyer Amalie Heiberg Adil Rasheed Omer San 40 74 0 16 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 214 0 10 Jun 2020
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines Callum Wilson A. Riccardi E. Minisci 11 4 0 04 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 24 18 0 21 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 25 83 0 20 May 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law Damien Teney Kushal Kafle Robik Shrestha Ehsan Abbasnejad Christopher Kanan Anton Van Den Hengel OODD OOD 33 145 0 19 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 32 83 0 18 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 45 125 0 14 May 2020
Guaranteeing Reproducibility in Deep Learning Competitions Brandon Houghton Stephanie Milani Nicholay Topin William H. Guss Katja Hofmann Diego Perez-Liebana Manuela Veloso Ruslan Salakhutdinov OOD 27 8 0 12 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
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program) Joelle Pineau Philippe Vincent-Lamarre Koustuv Sinha V. Larivière A. Beygelzimer Florence dÁlché-Buc E. Fox Hugo Larochelle 26 358 0 27 Mar 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
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Bo-wen Li Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 47 261 0 19 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 2020
Stochastic Recursive Momentum for Policy Gradient Methods Huizhuo Yuan Xiangru Lian Ji Liu Yuren Zhou 26 31 0 09 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 25 77 0 27 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 53 35 0 25 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 25 35 0 10 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks Feibo Jiang Kezhi Wang Li Dong Cunhua Pan Kun Yang OffRL 28 39 0 24 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
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 24 57 0 10 Jan 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 26 13 0 28 Dec 2019
Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution Yusuke Takahashi Yoshiro Suzuki A. Todoroki 21 6 0 23 Dec 2019
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning Eivind Meyer Haakon Robinson Adil Rasheed Omer San 33 65 0 18 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 29 26 0 13 Dec 2019
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 32 34 0 12 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization Jingbin Liu Xinyang Gu Shuai Liu 28 4 0 02 Dec 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents Lucas O. Souza G. Ramos C. Ralha 24 9 0 06 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Bharathan Balaji S. Mallya Sahika Genc Saurabh Gupta Leo Dirac ... Yunzhe Tao Brian Townsend E. Calleja Sunil Muralidhara Dhanasekar Karuppasamy 23 56 0 05 Nov 2019
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis Yang Liu Tim Althoff Jeffrey Heer 13 51 0 30 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 53 441 0 02 Oct 2019
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping Cristian Bodnar A. Li Karol Hausman P. Pastor Mrinal Kalakrishnan OffRL 28 50 0 01 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 25 145 0 30 Sep 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings Gregor Wiedemann Steffen Remus Avi Chawla Chris Biemann 27 174 0 23 Sep 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 19 87 0 21 Sep 2019
DECoVaC: Design of Experiments with Controlled Variability Components Thomas Boquet Laure Delisle Denis Kochetkov Nathan Schucher Parmida Atighehchian Boris N. Oreshkin Julien Cornebise 30 1 0 21 Sep 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization Michael Schaarschmidt Kai Fricke Eiko Yoneki 21 2 0 15 Sep 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification Jiawei Wu Wenhan Xiong William Yang Wang 23 69 0 09 Sep 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 24 25 0 13 Aug 2019