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
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild Jonas Myhre Schiøtt Viktor Sebastian Petersen Dimitrios P. Papadopoulos VLM 37 0 0 16 Apr 2025
Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss Ukjo Hwang Songnam Hong OffRL 41 0 0 14 Apr 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao Yuan Jiang Zijing Zhang Yang Yu Hechang Chen 23 0 0 09 Apr 2025
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems Yang Cao Changhao Zhang Xiaoshuang Chen Kaiqiao Zhan Ben Wang 33 1 0 08 Apr 2025
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations Manuel Sage Martin Staniszewski Yaoyao Fiona Zhao 34 2 0 06 Apr 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation Tan Shu Li Shen 49 0 0 04 Apr 2025
Optimistic Learning for Communication Networks George Iosifidis N. Mhaisen D. Leith OffRL 44 0 0 04 Apr 2025
An Extended Symbolic-Arithmetic Model for Teaching Double-Black Removal with Rotation in Red-Black Trees Kennedy E. Ehimwenma Hongyu Zhou Jize Wang Ze Zheng 33 0 0 04 Apr 2025
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning Luca Furieri Sucheth Shenoy Danilo Saccani Andrea Martin Giancarlo Ferrari-Trecate 26 0 0 03 Apr 2025
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets Rushi Jayeshkumar Babaria Minzhao Lyu Gustavo E. A. P. A. Batista V. Sivaraman AI4TS 48 0 0 02 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Sorin Grigorescu Mihai V. Zaha AI4CE 44 0 0 02 Apr 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning Llewyn Salt Marcus Gallagher 41 1 0 02 Apr 2025
Personality-Driven Decision-Making in LLM-Based Autonomous Agents Lewis Newsham Daniel Prince LLMAG AI4CE 60 1 0 01 Apr 2025
Value Iteration for Learning Concurrently Executable Robotic Control Tasks Sheikh A. Tahmid Gennaro Notomista OffRL 49 0 0 01 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Zhehuai Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu Ilya Kolmanovsky Dimitar Filev 59 0 0 31 Mar 2025
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations Rajdeep Singh Hundal Yan Xiao Xiaochun Cao Jin Song Dong Manuel Rigger 51 0 0 28 Mar 2025
Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks Heng Zhang Gokhan Solak Arash Ajoudani 39 0 0 27 Mar 2025
Inducing Personality in LLM-Based Honeypot Agents: Measuring the Effect on Human-Like Agenda Generation Lewis Newsham Ryan Hyland Daniel Prince 63 1 0 25 Mar 2025
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning Chak Lam Shek Pratap Tokekar 53 0 0 24 Mar 2025
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models Le Qiu Zelai Xu Qixin Tan Wenhao Tang Chao Yu Yu Wang AAML 43 0 0 24 Mar 2025
Evolutionary Policy Optimization Jianren Wang Yifan Su Abhinav Gupta Deepak Pathak 50 0 0 24 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
A Survey of Large Language Model Agents for Question Answering Murong Yue LLMAG LM&MA ELM 64 3 0 24 Mar 2025
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning Yexin Li Pring Wong Hanfang Zhang Shuo Chen Siyuan Qi OffRL 56 0 0 23 Mar 2025
Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement Jong-Hyun Jeonga Hongki Jo Qiang Zhou Tahsin Afroz Hoque Nishat Lang Wu 38 1 0 20 Mar 2025
Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks Yuzhi Zhou Yaru Fu Zheng Shi Howard H. Yang Kevin Hung Wenjie Qu 55 0 0 20 Mar 2025
Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time Runze You Shi Pu 44 0 0 20 Mar 2025
Design of Reward Function on Reinforcement Learning for Automated Driving Takeru Goto Yuki Kizumi Shun Iwasaki 41 4 0 20 Mar 2025
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Wei-Ting Hung Shao-Hua Sun Ping-Chun Hsieh 43 0 0 17 Mar 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
Dense Policy: Bidirectional Autoregressive Learning of Actions Yue Su Xinyu Zhan Hongjie Fang Han Xue Hao-Shu Fang Yongqian Li Cewu Lu Lixin Yang VGen 59 3 0 17 Mar 2025
Generative Modeling of Adversarial Lane-Change Scenario Chuancheng Zhang Zhenhao Wang Jiangcheng Wang Kun Su Qiang Lv Bin Jiang Kunkun Hao Wenyu Wang 39 0 0 15 Mar 2025
Eval-PPO: Building an Efficient Threat Evaluator Using Proximal Policy Optimization Wuzhou Sun Siyi Li Qingxiang Zou Zixing Liao AAML 56 0 0 15 Mar 2025
Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning Peter Böhm Archie C. Chapman Pauline Pounds 47 0 0 14 Mar 2025
Safe exploration in reproducing kernel Hilbert spaces Abdullah Tokmak Kiran G. Krishnan Thomas B. Schon Dominik Baumann 42 0 0 13 Mar 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Zhenghai Xue Lang Feng Jiacheng Xu Kang Kang Xiang Wen Jingyi Wang Shuicheng Yan OffRL 53 0 0 10 Mar 2025
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach Omar Mameche Abdelhadi Abedou Taqwa Mezaache Mohamed Tadjine 59 0 0 09 Mar 2025
Vairiational Stochastic Games Zhiyu Zhao Haifeng Zhang 57 0 0 08 Mar 2025
THE-SEAN: A Heart Rate Variation-Inspired Temporally High-Order Event-Based Visual Odometry with Self-Supervised Spiking Event Accumulation Networks Chaoran Xiong Litao Wei Kehui Ma Zhen Sun Yan Xiang Zihan Nan Trieu-Kien Truong Ling Pei 43 0 0 07 Mar 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou Yi Xiao Haowei Lin Xinheng He Jiaqi Guan Yang Wang Qiang Liu F. I. S. Kevin Zhou Liang Wang Jianzhu Ma AI4CE 60 0 0 06 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 43 1 0 04 Mar 2025
Reinforcement Learning-based Threat Assessment Wuzhou Sun Siyi Li Qingxiang Zou Zixing Liao AAML 83 0 0 04 Mar 2025
Improving Plasticity in Non-stationary Reinforcement Learning with Evidential Proximal Policy Optimization Abdullah Akgul Gulcin Baykal Manuel Haußmann M. Kandemir 38 0 0 03 Mar 2025
Diffusion Stabilizer Policy for Automated Surgical Robot Manipulations Chonlam Ho Jianshu Hu Haoran Wang Qi Dou Yutong Ban MedIm 82 1 0 03 Mar 2025
Runtime Learning of Quadruped Robots in Wild Environments Yihao Cai Y. Mao L. Sha H. Cao Marco Caccamo 51 0 0 02 Mar 2025
Actor-Critic Cooperative Compensation to Model Predictive Control for Off-Road Autonomous Vehicles Under Unknown Dynamics Prakhar Gupta J. Smereka Yunyi Jia 44 0 0 01 Mar 2025
BodyGen: Advancing Towards Efficient Embodiment Co-Design Haofei Lu Zhe Wu Junliang Xing Jianshu Li Ruoyu Li Zhe Li Yuanchun Shi 44 0 0 01 Mar 2025
Scalable Reinforcement Learning for Virtual Machine Scheduling Junjie Sheng JieHao Wu Haochuan Cui Yiqiu Hu Wenli Zhou Lei Zhu Qian Peng Wenhao Li Xiangfeng Wang OffRL 33 0 0 01 Mar 2025