Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework Florian Felten El-Ghazali Talbi Grégoire Danoy 16 13 0 21 Nov 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... Joost van de Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 48 45 0 20 Nov 2023
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms Yuan Meng Michael Kinsner Deshanand Singh Mahesh Iyer Viktor Prasanna 39 1 0 15 Nov 2023
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale Wei Wen Kuang-Hung Liu Igor Fedorov Xin Zhang Hang Yin ... Fangqiu Han Jiyan Yang Yuchen Hao Liang Xiong Wen-Yen Chen 49 2 0 14 Nov 2023
An introduction to reinforcement learning for neuroscience Kristopher T. Jensen OOD OffRL AI4CE 36 1 0 13 Nov 2023
Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RAN Axel Grönland Bleron Klaiqi Xavier Gelabert 27 1 0 07 Nov 2023
Hierarchical Reinforcement Learning for Power Network Topology Control Blazej Manczak Jan Viebahn H. V. Hoof 34 7 0 03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 34 5 0 01 Nov 2023
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 39 0 0 01 Nov 2023
Dropout Strategy in Reinforcement Learning: Limiting the Surrogate Objective Variance in Policy Optimization Methods Zhengpeng Xie Changdong Yu Weizheng Qiao 31 1 0 31 Oct 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 52 6 0 31 Oct 2023
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning Suraj Singireddy Andre Beckus George Atia Sumit Kumar Jha Alvaro Velasquez OffRL 22 0 0 29 Oct 2023
Weakly Coupled Deep Q-Networks Ibrahim El Shar Daniel R. Jiang 24 4 0 28 Oct 2023
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic Dexter Neo Tsuhan Chen 30 1 0 26 Oct 2023
Finetuning Offline World Models in the Real World Yunhai Feng Nicklas Hansen Ziyan Xiong Chandramouli Rajagopalan Xiaolong Wang OffRL OnRL 30 20 0 24 Oct 2023
Irreducible Curriculum for Language Model Pretraining Simin Fan Martin Jaggi 35 9 0 23 Oct 2023
Teaching Language Models to Self-Improve through Interactive Demonstrations Xiao Yu Baolin Peng Michel Galley Jianfeng Gao Zhou Yu LRM ReLM 43 20 0 20 Oct 2023
Generative Flow Networks as Entropy-Regularized RL D. Tiapkin Nikita Morozov Alexey Naumov Dmitry Vetrov 57 28 0 19 Oct 2023
Using Experience Classification for Training Non-Markovian Tasks Ruixuan Miao Xu Lu Cong Tian Bin Yu Zhenhua Duan OffRL 28 0 0 18 Oct 2023
GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints M. S. Q. Z. Nine T. Kosar M. F. Bulut Jinho Hwang 29 4 0 17 Oct 2023
Continuously Adapting Random Sampling (CARS) for Power Electronics Parameter Design D. Happel Philipp Brendel A. Rosskopf Stefan Ditze 13 0 0 16 Oct 2023
Deep Reinforcement Learning with Explicit Context Representation Francisco Munguia-Galeano Ah-Hwee Tan Ze Ji OffRL 36 2 0 15 Oct 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino Justin Fu Wenjie Luo George Tucker Eli Bronstein ... Brandyn White Aleksandra Faust R. McAllister Drago Anguelov Benjamin Sapp 39 93 0 12 Oct 2023
Discerning Temporal Difference Learning Jianfei Ma 15 0 0 12 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 26 1 0 11 Oct 2023
Imitation Learning from Observation with Automatic Discount Scheduling Yuyang Liu Weijun Dong Yingdong Hu Chuan Wen Zhao-Heng Yin Chongjie Zhang Yang Gao 30 6 0 11 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen Zelai Xu Yunfei Li Chao Yu Jiaming Song Huazhong Yang Fei Fang Yu Wang Yi Wu 34 4 0 07 Oct 2023
Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning Atsushi Ueshima Shayegan Omidshafiei Hirokazu Shirado 11 2 0 06 Oct 2023
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization Zizhao Hu Mohammad Rostami CLL BDL 33 3 0 05 Oct 2023
Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning Yilue Qian Peiyu Yu Ying Nian Wu Yao Su Wei Wang Lifeng Fan LRM 40 4 0 05 Oct 2023
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency Francisco Roldan Sanchez Qiang Wang David Córdova Bulens Kevin McGuinness Stephen J. Redmond Noel E. O'Connor OffRL OnRL 26 1 0 03 Oct 2023
Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning Lev Grossman Brian Plancher OffRL 17 0 0 03 Oct 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning Tao Lv Zequn Zhang Yang Xu Shihao Luo Bo Li Xin Jin Wenjun Zeng OffRL 37 1 0 28 Sep 2023
Maximum diffusion reinforcement learning Thomas A. Berrueta Allison Pinosky Todd D. Murphey AI4CE DiffM 19 5 0 26 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 38 3 0 25 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 30 13 0 19 Sep 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 49 9 0 18 Sep 2023
Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering Yuki Akiyama Konstantinos Slavakis 24 1 0 14 Sep 2023
Attention Loss Adjusted Prioritized Experience Replay Zhuoying Chen Huiping Li Rizhong Wang 19 2 0 13 Sep 2023
Reasoning with Latent Diffusion in Offline Reinforcement Learning S. Venkatraman Shivesh Khaitan Ravi Tej Akella John M. Dolan Jeff Schneider Glen Berseth OffRL 17 22 0 12 Sep 2023
CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning Ti Zhou Man Lin 16 4 0 07 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 37 16 0 02 Sep 2023
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers Alper Ahmetoglu Batuhan Celik Erhan Öztop Emre Ugur 27 6 0 02 Sep 2023
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level Cheng Qian Hongliang Ren 26 3 0 02 Sep 2023
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles A. H. Kolling V. A. Kich J. C. Jesus Andressa Cavalcante da Silva Ricardo B. Grando Paulo L. J. Drews-Jr D. T. Gamarra 30 3 0 01 Sep 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 37 6 0 29 Aug 2023
CLNeRF: Continual Learning Meets NeRF Zhipeng Cai Matthias Mueller CLL 31 15 0 28 Aug 2023
Symmetric Models for Visual Force Policy Learning Colin Kohler A. S. Srikanth Eshan Arora Robert Platt 41 8 0 28 Aug 2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C. Bellinger Laurence Lamarche-Cliche 34 0 0 28 Aug 2023
End-to-end Autonomous Driving using Deep Learning: A Systematic Review Apoorv Singh 43 9 0 27 Aug 2023