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Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 376 papers shown

Title
PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization Ben Rahman 63 0 0 23 May 2025
Adaptive Bias Generalized Rollout Policy Adaptation on the Flexible Job-Shop Scheduling Problem Lotfi Kobrosly Marc-Emmanuel Coupvent des Graviers Christophe Guettier Tristan Cazenave 95 0 0 13 May 2025
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning Bahareh Golchin Banafsheh Rekabdar AI4TS 150 2 0 03 Apr 2025
A Theory of Machine Understanding via the Minimum Description Length Principle Canlin Zhang Xiuwen Liu 118 0 0 01 Apr 2025
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 157 2 0 13 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 154 10 0 28 Jan 2025
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks Evans Tetteh Owusu Kwame Agyemang-Prempeh Agyekum Marinah Benneh Pius Ayorna Justice Owusu Agyemang George Nii Martey Colley James Dzisi Gazde 71 0 0 28 Jan 2025
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance Raúl Arranz David Carramiñana Gonzalo de Miguel Juan A. Besada Ana M. Bernardos 51 11 0 15 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 96 3 0 03 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 132 18 0 03 Jan 2025
Whole-Body Dynamic Throwing with Legged Manipulators Humphrey Munn Brendan Tidd Peter Böhm M. Gallagher David Howard 92 3 0 08 Oct 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 307 54 0 23 May 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 97 3 0 24 Jan 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training Xinyan Chen Jiaxin Ge Tianjun Zhang Jiaming Liu Shanghang Zhang VLM EGVM 150 0 0 23 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 148 5 0 13 Dec 2023
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts Yichen Gong Delong Ran Jinyuan Liu Conglei Wang Tianshuo Cong Anyu Wang Sisi Duan Xiaoyun Wang MLLM 222 160 0 09 Nov 2023
Agent Performing Autonomous Stock Trading under Good and Bad Situations Yunfei Luo Zhangqi Duan AIFin 71 0 0 06 Jun 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 118 8 0 24 Apr 2023
Quantum enhancements for deep reinforcement learning in large spaces Sofiene Jerbi Lea M. Trenkwalder Hendrik Poulsen Nautrup Hans J. Briegel Vedran Dunjko 82 5 0 28 Oct 2019
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading Bishan Yang Tom Michael Mitchell 84 248 0 25 Feb 2019
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 146 822 0 02 Feb 2018
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 72 175 0 26 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica Basel Alomair Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 71 200 0 15 Dec 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 62 52 0 20 Nov 2017
Saliency-based Sequential Image Attention with Multiset Prediction Sean Welleck Jialin Mao Kyunghyun Cho Zheng Zhang 42 23 0 14 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 327 887 0 11 Nov 2017
Learning with Options that Terminate Off-Policy Anna Harutyunyan Peter Vrancx Pierre-Luc Bacon Doina Precup A. Nowé OffRL 108 28 0 10 Nov 2017
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 91 399 0 08 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 195 4,606 0 26 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 77 354 0 10 Oct 2017
A Benchmark Environment Motivated by Industrial Control Problems D. Hein Stefan Depeweg Michel Tokic Steffen Udluft A. Hentschel Thomas Runkler V. Sterzing OffRL 104 59 0 27 Sep 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris Kitani J. Andrew Bagnell AI4CE 94 43 0 25 Sep 2017
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems Stefano V. Albrecht Peter Stone 138 473 0 23 Sep 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 72 386 0 21 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 124 300 0 05 Sep 2017
The Microsoft 2017 Conversational Speech Recognition System Wayne Xiong Lingfeng Wu F. Alleva J. Droppo Xuedong Huang A. Stolcke 80 466 0 21 Aug 2017
Practical Block-wise Neural Network Architecture Generation Zhaobai Zhong Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 77 126 0 18 Aug 2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 86 630 0 17 Aug 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 93 253 0 10 Aug 2017
Attention-Aware Face Hallucination via Deep Reinforcement Learning Qingxing Cao Liang Lin Yukai Shi Xiaodan Liang Guanbin Li SupR 73 195 0 10 Aug 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 70 285 0 08 Aug 2017
Reinforced Video Captioning with Entailment Rewards Ramakanth Pasunuru Joey Tianyi Zhou 73 115 0 07 Aug 2017
STARDATA: A StarCraft AI Research Dataset Zeming Lin Jonas Gehring Vasil Khalidov Gabriel Synnaeve 55 40 0 07 Aug 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 97 669 0 27 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 208 5,612 0 21 Jul 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 103 1,506 0 21 Jul 2017
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds Fangyu Liu Shuaipeng Li Liqiang Zhang Chenghu Zhou Rongtian Ye Yuebin Wang Jiwen Lu 3DPC 77 108 0 21 Jul 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning Wenhan Xiong Thi-Lan-Giao Hoang William Yang Wang 100 728 0 20 Jul 2017
A multi-agent reinforcement learning model of common-pool resource appropriation Julien Perolat Joel Z Leibo V. Zambaldi Charlie Beattie K. Tuyls T. Graepel 80 190 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 120 558 0 19 Jul 2017