Prioritized Experience Replay

18 November 2015

David Silver

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown

Title
In Hindsight: A Smooth Reward for Steady Exploration H. Jomaa Josif Grabocka Lars Schmidt-Thieme 16 0 0 24 Jun 2019
Optimal Use of Experience in First Person Shooter Environments Matthew Aitchison 8 2 0 24 Jun 2019
Ranking Policy Gradient Kaixiang Lin Jiayu Zhou OffRL 24 7 0 24 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Fengda Zhu Xiaojun Chang Runhao Zeng Mingkui Tan CLL 18 3 0 21 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing Haiguang Liao Wentai Zhang Xuliang Dong Barnabás Póczós K. Shimada L. Kara 27 82 0 20 Jun 2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong Aron Laszka Chao Yan Ning Zhang Yevgeniy Vorobeychik AAML 12 18 0 20 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu OffRL 19 102 0 19 Jun 2019
Hill Climbing on Value Estimates for Search-control in Dyna Yangchen Pan Hengshuai Yao Amir-massoud Farahmand Martha White 22 18 0 18 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 29 10 0 17 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
When to use parametric models in reinforcement learning? H. V. Hasselt Matteo Hessel John Aslanides 37 189 0 12 Jun 2019
Importance Resampling for Off-policy Prediction M. Schlegel Wesley Chung Daniel Graves Jian Qian Martha White OffRL 14 41 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 35 85 0 10 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past Che Wang Keith Ross 21 45 0 10 Jun 2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing Chen Qi Yuxiu Hua Rongpeng Li Zhifeng Zhao Honggang Zhang 25 68 0 10 Jun 2019
Deep Q-Learning for Directed Acyclic Graph Generation Laura DÁrcy P. Corcoran Alun D. Preece BDL GNN 6 5 0 05 Jun 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators F. Ramos Rafael Possas Dieter Fox 22 156 0 04 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 27 1,035 0 03 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning Jeffrey M. Ede R. Beanland MedIm 29 22 0 31 May 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning Lu Chen Zhi Chen Bowen Tan Sishan Long Milica Gasic Kai Yu 19 35 0 27 May 2019
Policy Search by Target Distribution Learning for Continuous Control Chuheng Zhang Yuanqi Li Jian Li 26 6 0 27 May 2019
Prioritized Sequence Experience Replay Marc Brittain J. R. Bertram Xuxi Yang Peng Wei 34 44 0 25 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 29 80 0 21 May 2019
Stochastic Variance Reduction for Deep Q-learning Wei Zhao Xiya Guan Yang Liu Xiaoming Zhao Jian-wei Peng 8 14 0 20 May 2019
Combining Experience Replay with Exploration by Random Network Distillation Francesco Sovrano 24 15 0 18 May 2019
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks Kota Nakashima Shotaro Kamiya K. Ohtsu Koji Yamamoto Takayuki Nishio M. Morikura 15 54 0 17 May 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr Michael Volpp Marc Toussaint Sebastian Trimpe Christian Daniel OffRL 29 2 0 14 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization Binyamin Manela Armin Biess 19 23 0 14 May 2019
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning A. Roibu 34 1 0 10 May 2019
Accelerated Target Updates for Q-learning Bowen Weng Huaqing Xiong Wei Zhang 11 0 0 07 May 2019
Comprehensible Context-driven Text Game Playing Xusen Yin Jonathan May 9 33 0 06 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 24 10 0 05 May 2019
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning Kacper Kielak GAN 21 0 0 30 Apr 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 19 63 0 25 Apr 2019
Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework Haoran Wang X. Zhou 18 2 0 25 Apr 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 25 6 0 21 Apr 2019
Compression and Localization in Reinforcement Learning for ATARI Games Joel Ruben Antony Moniz Barun Patra Sarthak Garg AI4CE 11 2 0 20 Apr 2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving Maxime Bouton J. Karlsson A. Nakhaei K. Fujimura Mykel J. Kochenderfer Jana Tumova 25 69 0 15 Apr 2019
Learning to Navigate in Indoor Environments: from Memorizing to Reasoning Liulong Ma Yanjie Liu Jiao Chen Dong Jin 22 10 0 15 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 14 2 0 08 Apr 2019
Random Projection in Neural Episodic Control Daichi Nishio S. Yamane 30 2 0 03 Apr 2019
Autonomous Highway Driving using Deep Reinforcement Learning S. Nageshrao H. E. Tseng Dimitar Filev 19 104 0 29 Mar 2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent Jieneng Chen Jingye Chen Ruiming Zhang Xiaobin Hu 21 6 0 29 Mar 2019
Online Variance Reduction with Mixtures Zalan Borsos Sebastian Curi Kfir Y. Levy Andreas Krause 11 14 0 29 Mar 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics Andy Zeng Shuran Song Johnny Lee Alberto Rodriguez Thomas Funkhouser 37 376 0 27 Mar 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 22 68 0 26 Mar 2019
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents Yunqi Zhao Igor Borovikov Fernando de Mesentier Silva Ahmad Beirami J. Rupert ... Mohsen Sardari Long Lin S. Narravula Navid Aghdaie Kazi A. Zaman 20 42 0 25 Mar 2019
Truly Batch Apprenticeship Learning with Deep Successor Features Donghun Lee Srivatsan Srinivasan Finale Doshi-Velez OffRL OOD 17 35 0 24 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 39 17 0 24 Mar 2019
DQN with model-based exploration: efficient learning on environments with sparse rewards Stephen Gou Yuyang Liu 15 14 0 22 Mar 2019