Deep Reinforcement Learning that Matters

19 September 2017

Papers citing "Deep Reinforcement Learning that Matters"

50 / 379 papers shown

Title
mlf-core: a framework for deterministic machine learning Lukas Heumos Philipp Ehmele Luis Kuhn Cuellar Kevin Menden Edmund Miller Steffen Lemke G. Gabernet S. Nahnsen AI4CE 27 3 0 15 Apr 2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn Hao Xiong Huanhui Cao Lin Zhang Wenjie Lu 24 3 0 03 Apr 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications Jessica Zosa Forde A. Feder Cooper Kweku Kwegyir-Aggrey Chris De Sa Michael Littman 11 22 0 01 Apr 2021
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB Sami Alabed Eiko Yoneki 21 17 0 30 Mar 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 21 2 0 26 Mar 2021
Efficient UAV Trajectory-Planning using Economic Reinforcement Learning Alvi Ataur Khalil Alexander J. Byrne M. Rahman M. Manshaei 35 10 0 03 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 22 155 0 03 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 39 40 0 02 Mar 2021
Accounting for Variance in Machine Learning Benchmarks Xavier Bouthillier Pierre Delaunay Mirko Bronzi Assya Trofimov Brennan Nichyporuk ... Dmitriy Serdyuk Tal Arbel C. Pal Gaël Varoquaux Pascal Vincent 37 149 0 01 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 29 100 0 26 Feb 2021
Learning Efficient Navigation in Vortical Flow Fields Peter Gunnarson Ioannis Mandralis G. Novati Petros Koumoutsakos J. Dabiri 32 68 0 21 Feb 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 37 39 0 16 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 29 35 0 05 Feb 2021
Embodied Intelligence via Learning and Evolution Agrim Gupta Silvio Savarese Surya Ganguli Li Fei-Fei AI4CE 22 232 0 03 Feb 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning D. Graves Jun Jin Jun Luo 38 2 0 29 Dec 2020
POPO: Pessimistic Offline Policy Optimization Qiang He Xinwen Hou OffRL 37 10 0 26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach James Queeney I. Paschalidis Christos G. Cassandras 31 9 0 19 Dec 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 20 105 0 20 Nov 2020
The Fundamental Principles of Reproducibility Odd Erik Gundersen 24 61 0 19 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 26 14 0 17 Nov 2020
Dirichlet policies for reinforced factor portfolios Eric André Guillaume Coqueret 25 7 0 10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching Tianwei Ni Harshit S. Sikchi Yufei Wang Tejus Gupta Lisa Lee Benjamin Eysenbach 13 72 0 09 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 22 11 0 05 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 51 12 0 02 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
How to Make Deep RL Work in Practice Nirnai Rao Elie Aljalbout Axel Sauer Sami Haddadin OffRL 29 11 0 25 Oct 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control Guangzhi Tang Neelesh Kumar Raymond Yoo Konstantinos Michmizos 54 74 0 19 Oct 2020
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification Davide Corsi Enrico Marchesini Alessandro Farinelli OffRL 14 2 0 19 Oct 2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design J. Luis E. Crawley B. Cameron 26 6 0 15 Oct 2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation Kalpesh Krishna John Wieting Mohit Iyyer 30 238 0 12 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 37 120 0 08 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 25 7 0 04 Oct 2020
Understanding tables with intermediate pre-training Julian Martin Eisenschlos Syrine Krichene Thomas Müller LMTD 18 119 0 01 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 60 434 0 25 Sep 2020
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 25 53 0 23 Sep 2020
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control Ian Fox Joyce M. Lee R. Pop-Busui Jenna Wiens BDL OffRL 30 50 0 18 Sep 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 29 72 0 08 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 27 95 0 07 Aug 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 31 12 0 29 Jul 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 63 142 0 24 Jul 2020
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 49 146 0 17 Jul 2020
A Differential Game Theoretic Neural Optimizer for Training Residual Networks Guan-Horng Liu T. Chen Evangelos A. Theodorou 24 2 0 17 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 41 312 0 12 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones Ugurkan Ates 26 10 0 11 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 51 167 0 09 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020