Revisiting Fundamentals of Experience Replay

13 July 2020

Papers citing "Revisiting Fundamentals of Experience Replay"

48 / 48 papers shown

Title
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Mohit Pandey G. Subbaraj Artem Cherkasov Martin Ester Emmanuel Bengio AI4CE 81 1 0 08 Mar 2025
Solving Finite-Horizon MDPs via Low-Rank Tensors Sergio Rozada Jose Luis Orejuela Antonio G. Marques 44 0 0 17 Jan 2025
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models Zhi-Yi Chin Kuan-Chen Mu Mario Fritz Pin-Yu Chen DiffM 85 0 0 25 Nov 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 39 1 0 11 Oct 2024
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings África Periánez Kathrin Schmitz Lazola Makhupula Moiz Hassan Moeti Moleko Ana Fernández del Río Ivan Nazarov Aditya Rastogi Dexian Tang OffRL 32 0 0 14 Aug 2024
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets Piotr Gaiñski Michał Koziarski Krzysztof Maziarz Marwin H. S. Segler Jacek Tabor Marek Śmieja 52 3 0 26 Jun 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
Self-evolving Autoencoder Embedded Q-Network Ieee J. Senthilnath Senior Member Zhen Bangjian Zhou Wei Ng Deeksha Aggarwal Rajdeep Dutta Ji Wei Yoon Phyu Aung Keyu Wu Ieee Li Fellow Xiaoli Li 43 1 0 18 Feb 2024
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 37 0 0 01 Nov 2023
Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach Kartik Nagpal Negar Mehr 25 0 0 26 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 21 4 0 08 Oct 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 24 6 0 29 Aug 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 24 1 0 14 Aug 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 7 0 02 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Aaron C. Courville Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 48 82 0 30 May 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 28 9 0 29 May 2023
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation Amir M. Soufi Enayati Zengjie Zhang Kashish Gupta H. Najjaran OffRL 6 0 0 12 Apr 2023
Utilizing Reinforcement Learning for de novo Drug Design Hampus Gummesson Svensson C. Tyrchan O. Engkvist M. Chehreghani 33 17 0 30 Mar 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Simon Guist Jan Schneider-Barnes Alexander Dittrich V. Berenz Bernhard Schölkopf Le Chen 21 3 0 03 Mar 2023
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning Joshua Aurand Steven Cutlip Henry Lei Kendra A. Lang S. Phillips 15 6 0 27 Feb 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal Pablo Samuel Castro Utku Evci CLL 51 88 0 24 Feb 2023
Understanding the effect of varying amounts of replay per step A. Paul Videh Raj Nema 6 0 0 20 Feb 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 21 0 0 26 Jan 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks Hélion Marie du Mas des Bourboux 21 1 0 25 Nov 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot Aaron Zellner Ayan Dutta Iliya Kulbaka Gokarna Sharma 17 5 0 01 Oct 2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning Mengyuan Li Arman Kazemi Ann Franchesca Laguna Sharon Hu VLM 16 8 0 16 Jul 2022
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments Zijian Hu Xiao-guang Gao Kaifang Wan Qianglong Wang Yiwei Zhai 34 10 0 04 Jul 2022
Analysis of Stochastic Processes through Replay Buffers Shirli Di-Castro Shashua Shie Mannor Dotan Di-Castro 28 6 0 26 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 96 180 0 16 May 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
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar Rishabh Agarwal Tengyu Ma Aaron Courville George Tucker Sergey Levine OffRL 31 65 0 09 Dec 2021
Convergence Results For Q-Learning With Experience Replay Liran Szlak Ohad Shamir OffRL 29 5 0 08 Dec 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 30 78 0 22 Nov 2021
Variance Reduction based Experience Replay for Policy Optimization Hua Zheng Wei Xie M. Feng OffRL 33 2 0 17 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 27 15 0 05 Oct 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 42 3 0 08 Sep 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 21 337 0 20 Jul 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 14 116 0 11 Jun 2021
Reverb: A Framework For Experience Replay Albin Cassirer Gabriel Barth-Maron E. Brevdo Sabela Ramos Toby Boyd Thibault Sottiaux M. Kroiss VLM OffRL 18 38 0 09 Feb 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
The Importance of Pessimism in Fixed-Dataset Policy Optimization Jacob Buckman Carles Gelada Marc G. Bellemare OffRL 31 135 0 15 Sep 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 24 83 0 10 Jun 2020
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,234 0 30 Nov 2018