Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

10 August 2017

Papers citing "Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control"

50 / 55 papers shown

Title
Multi-parameter Control for the (1+( $λ$ , $λ$ ))-GA on OneMax via Deep Reinforcement Learning Tai Nguyen Phong Le Carola Doerr Nguyen Dang 27 0 0 19 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 60 1 0 24 Apr 2025
AlgOS: Algorithm Operating System Llewyn Salt Marcus Gallagher VLM 37 0 0 07 Apr 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Zhihao Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 109 1 0 22 Dec 2024
What is Reproducibility in Artificial Intelligence and Machine Learning Research? Abhyuday Desai Mohamed Abdelhamid N. R. Padalkar AI4CE 32 2 0 29 Apr 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization Daniel Mayfrank Na Young Ahn Alexander Mitsos Manuel Dahmen 34 2 0 21 Mar 2024
Signal Temporal Logic-Guided Apprenticeship Learning Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 46 2 0 09 Nov 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 53 308 0 17 Oct 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 45 5 0 20 Jul 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 36 9 0 29 May 2023
CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality Gianluigi Grandesso Elisa Alboni G. P. R. Papini Patrick M. Wensing Andrea Del Prete 30 15 0 12 Nov 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 50 21 0 04 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 21 0 0 19 Sep 2022
Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows Michael Xu Abinash Kumar J. Lebeau 20 7 0 04 Aug 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 41 4 0 20 May 2022
Deep Learning Reproducibility and Explainable AI (XAI) Anastasia-Maria Leventi-Peetz T. Östreich 19 9 0 23 Feb 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 40 22 0 26 Jan 2022
Reproducibility in Learning R. Impagliazzo Rex Lei T. Pitassi Jessica Sorrell 32 43 0 20 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 24 5 0 26 Dec 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
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains Junhong Xu Kai-Li Yin Zheng Chen Jason M. Gregory Ethan Stump Lantao Liu 37 2 0 16 Nov 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 27 5 0 25 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 47 17 0 07 Oct 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
Variational Actor-Critic Algorithms Yuhua Zhu Lexing Ying OffRL 15 0 0 03 Aug 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu SSL 49 15 0 10 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 55 77 0 01 Jun 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
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers G. Varela Pedro P. Santos Alberto Sardinha Francisco S. Melo 26 2 0 24 Jan 2021
A Study of Checkpointing in Large Scale Training of Deep Neural Networks Elvis Rojas A. Kahira Esteban Meneses L. Bautista-Gomez Rosa M. Badia 29 22 0 01 Dec 2020
Dirichlet policies for reinforced factor portfolios Eric André Guillaume Coqueret 25 7 0 10 Nov 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 for Closed-Loop Blood Glucose Control Ian Fox Joyce M. Lee R. Pop-Busui Jenna Wiens BDL OffRL 30 50 0 18 Sep 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 31 12 0 29 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
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
Randomized Policy Learning for Continuous State and Action MDPs Hiteshi Sharma Rahul Jain 21 1 0 08 Jun 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 12 32 0 06 May 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 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
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 29 26 0 13 Dec 2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 32 39 0 14 Jul 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 44 28 0 25 Mar 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 28 276 0 14 Dec 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 22 51 0 15 Sep 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 875 0 03 Mar 2018