Deep Reinforcement Learning that Matters

19 September 2017

Papers citing "Deep Reinforcement Learning that Matters"

50 / 379 papers shown

Title
Off Environment Evaluation Using Convex Risk Minimization Pulkit Katdare Shuijing Liu Katherine Driggs-Campbell 18 2 0 21 Dec 2021
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation Enrico Marchesini Davide Corsi Alessandro Farinelli 21 18 0 16 Dec 2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters Sami Alabed Eiko Yoneki 17 7 0 16 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 30 16 0 08 Dec 2021
Pessimistic Model Selection for Offline Deep Reinforcement Learning Chao-Han Huck Yang Zhengling Qi Yifan Cui Pin-Yu Chen OffRL 39 4 0 29 Nov 2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance Yanqiu Wu Xinyue Chen Che Wang Yiming Zhang Keith Ross OffRL 17 9 0 17 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 65 100 0 06 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 45 93 0 04 Nov 2021
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization Gal Leibovich Guy Jacob Shadi Endrawis Gal Novik Aviv Tamar 30 7 0 01 Nov 2021
A Systematic Investigation of Commonsense Knowledge in Large Language Models Xiang Lorraine Li A. Kuncoro Jordan Hoffmann Cyprien de Masson dÁutume Phil Blunsom Aida Nematzadeh LRM 25 58 0 31 Oct 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 40 47 0 29 Oct 2021
Understanding the Effect of Stochasticity in Policy Optimization Jincheng Mei Bo Dai Chenjun Xiao Csaba Szepesvári Dale Schuurmans 19 17 0 29 Oct 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
CT-SGAN: Computed Tomography Synthesis GAN Ahmad Pesaranghader Yiping Wang Mohammad Havaei GAN MedIm 32 11 0 14 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 34 5 0 10 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 27 35 0 07 Oct 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 13 2 0 07 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 24 58 0 22 Sep 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning Qiang He Yuxun Qu Chen Gong Xinwen Hou OffRL 22 10 0 22 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 47 3 0 08 Sep 2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning Owen Lockwood 22 9 0 07 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays Somjit Nath Mayank Baranwal H. Khadilkar OffRL 32 28 0 17 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 21 29 0 10 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh Alex Schwing 32 15 0 06 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 35 9 0 04 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 42 104 0 23 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 86 28 0 13 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 24 17 0 30 Jun 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 25 75 0 22 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 788 0 12 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 54 51 0 11 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu SSL 49 15 0 10 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning Kevin Zakka Andy Zeng Peter R. Florence Jonathan Tompson Jeannette Bohg Debidatta Dwibedi SSL 43 119 0 07 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 19 46 0 05 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 52 77 0 01 Jun 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games Won Joon Yun Sungwon Yi Joongheon Kim 20 10 0 21 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 24 54 0 11 May 2021
Deep reinforcement learning-designed radiofrequency waveform in MRI Dongmyung Shin Younghoon Kim Chung‐Hyok Oh Hongjun An Juhyung Park Jiye G. Kim Jongho Lee 29 20 0 07 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien Wenjie Wang Gregory D. Hager OffRL 43 20 0 03 May 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 33 46 0 20 Apr 2021
Perspectives on Machine Learning from Psychology's Reproducibility Crisis Samuel J. Bell Onno P. Kampman 22 15 0 18 Apr 2021