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Continuous control with deep reinforcement learning

Continuous control with deep reinforcement learning

9 September 2015
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
ArXivPDFHTML

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,416 papers shown
Title
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Haque Ishfaq
Guangyuan Wang
Sami Nur Islam
Doina Precup
87
2
0
29 Jan 2025
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto
P. DÓro
Amy Zhang
Yuandong Tian
Michael Rabbat
OffRL
49
3
0
28 Jan 2025
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li
Jiahao Wang
Bo Du
Jun Shen
Qiang Wu
59
1
0
28 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
Dayong Ye
Tainqing Zhu
Junlong Li
Kun Gao
B. Liu
Lefei Zhang
Wanlei Zhou
Yanmei Zhang
AAML
MU
87
0
0
28 Jan 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
Oubo Ma
L. Du
Yang Dai
Chunyi Zhou
Qingming Li
Yuwen Pu
Shouling Ji
61
0
0
28 Jan 2025
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
Hung Du
Srikanth Thudumu
Hy Nguyen
Rajesh Vasa
K. Mouzakis
64
0
0
28 Jan 2025
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun Luo
103
1
0
28 Jan 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
Bowen Zheng
Ran Cheng
Kay Chen Tan
59
0
0
25 Jan 2025
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
Fanxing Li
Fangyu Sun
Tianbao Zhang
Danping Zou
46
0
0
24 Jan 2025
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
Sahan Bulathwela
Daniel Van Niekerk
Jarrod Shipton
Maria Perez-Ortiz
Benjamin Rosman
John Shawe-Taylor
LRM
73
0
0
23 Jan 2025
Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments
Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments
Wessel Ledder
Yuzhen Qin
Kiki van der Heijden
118
0
0
20 Jan 2025
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
Donghe Chen
Han Wang
Lin Cheng
Shengping Gong
269
0
0
18 Jan 2025
The surprising efficiency of temporal difference learning for rare event prediction
The surprising efficiency of temporal difference learning for rare event prediction
Xiaoou Cheng
Jonathan Weare
OffRL
56
0
0
17 Jan 2025
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
Runsheng Lin
Zihan Xing
Mingze Ma
Raymond S.T. Lee
54
2
0
15 Jan 2025
RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning
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
46
0
0
13 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
Yi Wan
D. Korenkevych
Zheqing Zhu
OffRL
CLL
59
0
0
12 Jan 2025
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
Vincenzo Petrone
Enrico Ferrentino
Pasquale Chiacchio
51
0
0
10 Jan 2025
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
Bhargava Uppuluri
Anjel Patel
Neil Mehta
Sridhar Kamath
Pratyush Chakraborty
62
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
65
0
0
06 Jan 2025
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
Gavin B. Rens
63
0
0
03 Jan 2025
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation
Baoqian Wang
Junfei Xie
Nikolay Atanasov
47
10
0
03 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Han Zhang
Xiaoman Pan
Hongwei Wang
Kaixin Ma
Wenhao Yu
Dong Yu
LLMAG
74
4
0
03 Jan 2025
CREW: Facilitating Human-AI Teaming Research
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang
Zhengran Ji
Boyuan Chen
64
3
0
03 Jan 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
40
1
0
31 Dec 2024
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Neil De La Fuente
Miquel Noguer i Alonso
Guim Casadellà
67
0
0
31 Dec 2024
Predictive Monitoring of Black-Box Dynamical Systems
Predictive Monitoring of Black-Box Dynamical Systems
T. Henzinger
Fabian Kresse
Kaushik Mallik
Emily Yu
Đorđe Žikelić
80
0
0
21 Dec 2024
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement
  Learning?
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
93
2
0
18 Dec 2024
Harvesting energy from turbulent winds with Reinforcement Learning
Harvesting energy from turbulent winds with Reinforcement Learning
Lorenzo Basile
Maria Grazia Berni
Antonio Celani
88
0
0
18 Dec 2024
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic
  Graphs -- A Graph Sequential Embedding Method
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
Jiate Li
Meng Pang
Binghui Wang
AAML
84
1
0
17 Dec 2024
An Advantage-based Optimization Method for Reinforcement Learning in
  Large Action Space
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space
Hai Lin
Cheng Huang
Zhihong Chen
OffRL
87
0
0
17 Dec 2024
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
H. Cao
Y. Mao
L. Sha
Marco Caccamo
OffRL
107
0
0
17 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing
Vernon Luk
Jean Oh
109
0
0
16 Dec 2024
Adaptive Reward Design for Reinforcement Learning
Adaptive Reward Design for Reinforcement Learning
Minjae Kwon
Ingy Elsayed-Aly
Lu Feng
80
2
0
14 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
105
0
0
14 Dec 2024
Advances in Transformers for Robotic Applications: A Review
Advances in Transformers for Robotic Applications: A Review
Nikunj Sanghai
Nik Bear Brown
AI4CE
110
0
0
13 Dec 2024
Distributional Reinforcement Learning based Integrated Decision Making
  and Control for Autonomous Surface Vehicles
Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles
Xi Lin
Paul Szenher
Yewei Huang
Brendan Englot
88
1
0
12 Dec 2024
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class
  and Backbone
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
124
6
0
09 Dec 2024
A Scalable Decentralized Reinforcement Learning Framework for UAV Target
  Localization Using Recurrent PPO
A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO
Leon Fernando
Billy Pik Lik Lau
Chau Yuen
U-Xuan Tan
77
0
0
09 Dec 2024
Conformal Symplectic Optimization for Stable Reinforcement Learning
Conformal Symplectic Optimization for Stable Reinforcement Learning
Yao Lyu
Xiangteng Zhang
Shengbo Eben Li
Jingliang Duan
Letian Tao
Qing Xu
Lei He
Keqiang Li
103
0
0
03 Dec 2024
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and
  Communication
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication
Homa Nikbakht
Michèle Wigger
S. Shamai
H. Vincent Poor
74
4
0
02 Dec 2024
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
Towards Fault Tolerance in Multi-Agent Reinforcement Learning
Yuchen Shi
Huaxin Pei
Liang Feng
Jianming Hu
Dingyi Yao
87
0
0
30 Nov 2024
A Local Information Aggregation based Multi-Agent Reinforcement Learning
  for Robot Swarm Dynamic Task Allocation
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
Yang Lv
Jinlong Lei
Peng Yi
79
1
0
29 Nov 2024
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater
  Treatment with Time Delays Integration
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
78
0
0
27 Nov 2024
Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs
Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVs
Haochen Chai
Meimei Su
Yang Lyu
Zhunga Liu
Chunhui Zhao
Quan Pan
88
0
0
27 Nov 2024
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
Shiron Thalagala
Pak Kin Wong
Xiaozheng Wang
Tianang Sun
OffRL
120
0
0
24 Nov 2024
Provably Efficient Action-Manipulation Attack Against Continuous
  Reinforcement Learning
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo
Xiaoyu Yang
Pan Zhou
D. Wang
AAML
84
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
46
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
34
0
0
16 Nov 2024
OCMDP: Observation-Constrained Markov Decision Process
OCMDP: Observation-Constrained Markov Decision Process
Taiyi Wang
Jianheng Liu
Bryan Lee
Zhihao Wu
Yu Wu
47
1
0
11 Nov 2024
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
48
3
0
08 Nov 2024
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