Dopamine: A Research Framework for Deep Reinforcement Learning

14 December 2018

Papers citing "Dopamine: A Research Framework for Deep Reinforcement Learning"

50 / 60 papers shown

Title
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 47 0 0 25 Jan 2025
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 38 0 0 06 Nov 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach Henrique Donâncio Antoine Barrier Leah F. South Florence Forbes 30 0 0 16 Oct 2024
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL Ghada Sokar J. Obando-Ceron Rameswar Panda Hugo Larochelle Pablo Samuel Castro MoE 165 2 0 02 Oct 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 16 0 05 Jul 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Rameswar Panda 44 1 0 07 May 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library Wenzhang Liu Wenzhe Cai Kun Jiang Guangran Cheng Yuanda Wang Changyin Sun Jingyu Cao Lele Xu Chaoxu Mu Changyin Sun 39 4 0 25 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 33 0 0 17 Nov 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 43 4 0 05 Oct 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 51 90 0 24 Feb 2023
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes Aviral Kumar Rishabh Agarwal Xinyang Geng George Tucker Sergey Levine OffRL 44 48 0 28 Nov 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 39 6 0 22 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 48 21 0 04 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 36 5 0 21 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act Alexis Jacq Johan Ferret Olivier Pietquin M. Geist 32 9 0 16 Mar 2022
Orchestrated Value Mapping for Reinforcement Learning Mehdi Fatemi Arash Tavakoli 27 8 0 14 Mar 2022
Consistent Dropout for Policy Gradient Reinforcement Learning Matthew J. Hausknecht Nolan Wagener OffRL 27 10 0 23 Feb 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 24 44 0 28 Jan 2022
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 65 100 0 06 Nov 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning Georg Ostrovski Pablo Samuel Castro Will Dabney OffRL 19 57 0 26 Oct 2021
Large Batch Experience Replay Thibault Lahire M. Geist Emmanuel Rachelson OffRL 56 13 0 04 Oct 2021
On the Estimation Bias in Double Q-Learning Zhizhou Ren Guangxiang Zhu Haotian Hu Beining Han Jian-Hai Chen Chongjie Zhang 24 17 0 29 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 21 58 0 22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 128 0 14 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
Tianshou: a Highly Modularized Deep Reinforcement Learning Library Jiayi Weng Huayu Chen Dong Yan Kaichao You Alexis Duburcq Minghao Zhang Yi Su Hang Su Jun Zhu NoLa OffRL 32 195 0 29 Jul 2021
Simplifying Deep Reinforcement Learning via Self-Supervision Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu SSL 49 15 0 10 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 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
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan Joost van de Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 42 181 0 01 Apr 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 15 32 0 14 Mar 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach Amin Nikanjam Mohammad Mehdi Morovati Foutse Khomh Houssem Ben Braiek 35 30 0 01 Jan 2021
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 33 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 23 9 0 25 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
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 819 0 05 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 38 79 0 17 Sep 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 234 0 13 Jul 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 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
Leverage the Average: an Analysis of KL Regularization in RL Nino Vieillard Tadashi Kozuno B. Scherrer Olivier Pietquin Rémi Munos M. Geist 25 43 0 31 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning Chao-Han Huck Yang Jun Qi Pin-Yu Chen Ouyang Yi I-Te Danny Hung Chin-Hui Lee Xiaoli Ma AAML 21 29 0 20 Feb 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