Deep Deterministic Policy Gradient

Deep Deterministic Policy Gradient (DDPG) is a reinforcement learning algorithm used to train agents to perform continuous control tasks by learning optimal policies in complex environments. Current research focuses on improving DDPG's performance in challenging scenarios, such as sparse reward settings, high-dimensional state spaces, and safety-critical applications, often incorporating enhancements like prioritized experience replay, twin delayed DDPG (TD3), and auxiliary tasks. These advancements are significantly impacting various fields, including robotics, autonomous navigation, and resource management, by enabling more robust and efficient control systems in dynamic and uncertain environments.

Papers

May 12, 2023

Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge
Bolun Zhang, Nguyen Van Huynh
Deep Deterministic Policy Gradient Channel Prior Channel Knowledge

April 25, 2023

Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning
Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee
Model Free Reinforcement Learning Actor Critic Algorithm Deep Deterministic Policy Gradient Task Specific Reward Formal Specification Phi 3

April 19, 2023

Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients
Steffen Gracla, Edgar Beck, Carsten Bockelmann, Armin Dekorsy
Resource Allocation Deep Deterministic Policy Gradient Resource Management Priority User Deep Q Asymmetric Counterfactual Utility

April 12, 2023

Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car
Ivan Nasonov, Andrey Galyaev, Andrey Medvedev
Deep Deterministic Policy Gradient Multiple Target Main CAR Sale Factor Multiple Trajectory Arbitrary Trajectory Neural Network Algorithm Simultaneous Interception Time Optimal Control Dubins Path

April 10, 2023

Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient
Gaurav Deshkar, Jayanta Kshirsagar, Harshal Hayatnagarkar, Janani Venugopalan
Optimal Policy Policy Optimization Deep Deterministic Policy Gradient Pandemic Control Optimal Intervention

February 28, 2023

Auxiliary Task-based Deep Reinforcement Learning for Quantum Control
Shumin Zhou, Hailan Ma, Sen Kuang, Daoyi Dong
Reinforcement Learning Auxiliary Task Deep Deterministic Policy Gradient Quantum Control

February 21, 2023

UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance
Mahya Ramezani, Hamed Habibi, Jose luis Sanchez Lopez, Holger Voos
Reinforcement Learning Predictive Control Collision Avoidance Deep Deterministic Policy Gradient Deterministic Policy UAV Path Planning

February 13, 2023

Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors
Boyuan Deng, Jian Sun, Zhuo Li, Gang Wang
Predictive Control Model Based Deep Deterministic Policy Gradient Identical Twin Trajectory Tracking Control COntinuous Trajectory

February 10, 2023

Learning cooperative behaviours in adversarial multi-agent systems
Ni Wang, Gautham P. Das, Alan G. Millard
LeArning Abstract Multi Agent Multi Agent System Action Space Deep Deterministic Policy Gradient Cooperative Behavior Hybrid Reward

January 30, 2023

V2N Service Scaling with Deep Reinforcement Learning
Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni, Paola Grosso
Deep Reinforcement Learning Edge Computing Deep Deterministic Policy Gradient

January 25, 2023

Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira
Reinforcement Learning Multi Agent External Control Partial Differential Equation Deep Deterministic Policy Gradient Convolution Operation Convolutional Neural Network Based Framework

November 7, 2022

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Reinforcement Learning Actor Critic Deep Deterministic Policy Gradient Model Misspecification Policy Algorithm Policy Actor Critic Uncertainty Set Multi Joint Worst Case Robustness

November 2, 2022

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li, Ruinong Wang, Yuanzheng Li, Meng Zhang, Chao Long
Federated Reinforcement Learning Wind Power Deep Deterministic Policy Gradient Short Term Wind Speed

October 24, 2022

AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay
Adarsh Sehgal, Muskan Sehgal, Hung Manh La
Actor Critic Deep Deterministic Policy Gradient Critic Model Multi Agent Actor Critic Hindsight Experience Replay

October 20, 2022

Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Ilya Orson Sandoval, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona
Optimal Control Neural ODE Neural Ordinary Differential Equation Control Policy Deep Deterministic Policy Gradient

September 29, 2022

Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning
Renata Garcia, Wouter Caarls
Reinforcement Learning Hyperparameter Tuning Deep Deterministic Policy Gradient Q Ensemble

September 22, 2022

Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
Reinforcement Learning Deep Reinforcement Learning Video Demonstration Deep Deterministic Policy Gradient Human Performance Hindsight Experience Replay 3D Simulator

September 13, 2022

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots
Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich, Alisson H. Kolling, Rodrigo S. Guerra, Paulo L. J. Drews-Jr
Deep Reinforcement Learning Mobile Robot Deep RL Deep Deterministic Policy Gradient Low Dimension

July 27, 2022

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control
Takuya Kanazawa, Haiyan Wang, Chetan Gupta
Reinforcement Learning Uncertainty Quantification Epistemic Uncertainty Deep Deterministic Policy Gradient

June 15, 2022

Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Tong Liu, Lei Lei, Kan Zheng, Kuan Zhang
Reinforcement Learning Deep Reinforcement Learning Dynamic Programming Deep Deterministic Policy Gradient Platoon Control Car Following

Deep Deterministic Policy Gradient

Papers

Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge

Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning

Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients

Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car

Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient

Auxiliary Task-based Deep Reinforcement Learning for Quantum Control

UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance

Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors

Learning cooperative behaviours in adversarial multi-agent systems

V2N Service Scaling with Deep Reinforcement Learning

Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay

Neural ODEs as Feedback Policies for Nonlinear Optimal Control

Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning

Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control

Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming