Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

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Title
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function Donghe Chen Han Wang Lin Cheng Shengping Gong 209 0 0 18 Jan 2025
The surprising efficiency of temporal difference learning for rare event prediction Xiaoou Cheng Jonathan Weare OffRL 46 0 0 17 Jan 2025
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy Runsheng Lin Zihan Xing Mingze Ma Raymond S.T. Lee 49 2 0 15 Jan 2025
RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning Mingkang Wu Devin White Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao OffRL 39 0 0 13 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 55 0 0 12 Jan 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving Bhargava Uppuluri Anjel Patel Neil Mehta Sridhar Kamath Pratyush Chakraborty 57 0 0 10 Jan 2025
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks Vincenzo Petrone Enrico Ferrentino Pasquale Chiacchio 39 0 0 10 Jan 2025
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes Zijian Wang Bin Wang Mingwen Shao Hongbo Dou Boxiang Tao 38 0 0 06 Jan 2025
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning Gavin B. Rens 53 0 0 03 Jan 2025
CREW: Facilitating Human-AI Teaming Research Lingyu Zhang Zhengran Ji Boyuan Chen 54 3 0 03 Jan 2025
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation Baoqian Wang Junfei Xie Nikolay Atanasov 42 10 0 03 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots Han Zhang Xiaoman Pan Hongwei Wang Kaixin Ma Wenhao Yu Dong Yu LLMAG 69 3 0 03 Jan 2025
Image Classification with Deep Reinforcement Active Learning Mingyuan Jiu Xuguang Song H. Sahbi Shupan Li Yan Chen Wei Guo Lihua Guo Mingliang Xu VLM 29 0 0 31 Dec 2024
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics Neil De La Fuente Miquel Noguer i Alonso Guim Casadellà 38 0 0 31 Dec 2024
Predictive Monitoring of Black-Box Dynamical Systems T. Henzinger Fabian Kresse Kaushik Mallik Emily Yu Đorđe Žikelić 75 0 0 21 Dec 2024
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Tongzhou Mu Zhaoyang Li Stanisław Wiktor Strzelecki Xiu Yuan Yunchao Yao Litian Liang H. Su OffRL 88 2 0 18 Dec 2024
Harvesting energy from turbulent winds with Reinforcement Learning Lorenzo Basile Maria Grazia Berni Antonio Celani 74 0 0 18 Dec 2024
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method Jiate Li Meng Pang Binghui Wang AAML 79 1 0 17 Dec 2024
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space Hai Lin Cheng Huang Zhihong Chen OffRL 74 0 0 17 Dec 2024
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning H. Cao Y. Mao L. Sha Marco Caccamo OffRL 100 0 0 17 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 89 0 0 16 Dec 2024
Adaptive Reward Design for Reinforcement Learning Minjae Kwon Ingy Elsayed-Aly Lu Feng 75 2 0 14 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Advances in Transformers for Robotic Applications: A Review Nikunj Sanghai Nik Bear Brown AI4CE 86 0 0 13 Dec 2024
Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles Xi Lin Paul Szenher Yewei Huang Brendan Englot 81 1 0 12 Dec 2024
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone Max Sobol Mark Tian Gao Georgia Gabriela Sampaio Mohan Kumar Srirama Archit Sharma Chelsea Finn Aviral Kumar OffRL OnRL 106 4 0 09 Dec 2024
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO Leon Fernando Billy Pik Lik Lau Chau Yuen U-Xuan Tan 67 0 0 09 Dec 2024
Conformal Symplectic Optimization for Stable Reinforcement Learning Yao Lyu Xiangteng Zhang Shengbo Eben Li Jingliang Duan Letian Tao Qing Xu Lei He Keqiang Li 73 0 0 03 Dec 2024
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication Homa Nikbakht Michèle Wigger S. Shamai H. Vincent Poor 67 4 0 02 Dec 2024
Towards Fault Tolerance in Multi-Agent Reinforcement Learning Yuchen Shi Huaxin Pei Liang Feng Yi Zhang D. Yao 75 0 0 30 Nov 2024
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation Yang Lv Jinlong Lei Peng Yi 57 1 0 29 Nov 2024
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration Esmaeel Mohammadi D. O. Arroyo A. A. Hansen Mikkel Stokholm-Bjerregaard S. Gros Akhil S. Anand Petar Durdevic 68 0 0 27 Nov 2024
Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs Haochen Chai Meimei Su Yang Lyu Zhunga Liu Chunhui Zhao Quan Pan 81 0 0 27 Nov 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 76 0 0 24 Nov 2024
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning Zhi Luo Xiaoyu Yang Pan Zhou D. Wang AAML 76 0 0 20 Nov 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby Justin Sasek Samyak Parajuli Daniel Adebi Amy Zhang Yuke Zhu OffRL 28 3 0 17 Nov 2024
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks Ke Wang Wen Liu Teng Joon Lim 29 0 0 16 Nov 2024
OCMDP: Observation-Constrained Markov Decision Process Taiyi Wang Jianheng Liu Bryan Lee Zhihao Wu Yu Wu 36 1 0 11 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 29 2 0 08 Nov 2024
A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model Panwen Hu Nan Xiao Feifei Li Yongquan Chen Rui Huang VGen OffRL 60 3 0 07 Nov 2024
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning Thomas Frost Kezhi Li Steve Harris OOD 29 1 0 06 Nov 2024
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services Zhang Liu Hongyang Du Xiangwang Hou Lianfen Huang Seyyedali Hosseinalipour Dusit Niyato K. B. Letaief DiffM 49 1 0 03 Nov 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers Kai Yan Alex Schwing Yu-xiong Wang OffRL OnRL 41 0 0 31 Oct 2024
Maximum Entropy Hindsight Experience Replay Douglas C. Crowder Matthew L. Trappett Darrien M. McKenzie Frances S. Chance 37 0 0 31 Oct 2024
Deterministic Exploration via Stationary Bellman Error Maximization Sebastian Griesbach Carlo DÉramo 33 0 0 31 Oct 2024
Multi-Robot Pursuit in Parameterized Formation via Imitation Learning Jinyong Chen Rui Zhou Zhaozong Wang Yunjie Zhang Guibin Sun 33 0 0 31 Oct 2024
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 35 0 0 31 Oct 2024
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning Qiliang Chen Babak Heydari DRL 41 0 0 30 Oct 2024
Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards Irmak Güzey Yinlong Dai Georgy Savva Raunaq M. Bhirangi Lerrel Pinto 46 7 0 30 Oct 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 48 0 0 30 Oct 2024