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Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 4,795 papers shown

Optimizing Electric Vehicle Charging Station Placement Using Reinforcement Learning and Agent-Based Simulations

Minh-Duc Nguyen

Dung D. Le

Phi Long Nguyen

03 Nov 2025

Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems

02 Nov 2025

Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2025

130

02 Nov 2025

Deep reinforcement learning for optimal trading with partial information

Andrea Macri

Sebastian Jaimungal

Fabrizio Lillo

31 Oct 2025

Reinforcement Learning for Long-Horizon Unordered Tasks: From Boolean to Coupled Reward Machines

Kristina Levina

Nikolaos Pappas

Athanasios Karapantelakis

Aneta Vulgarakis Feljan

Jendrik Seipp

151

31 Oct 2025

Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot Locomotion

103

30 Oct 2025

Reinforcement Learning for Robotic Safe Control with Force Sensing

30 Oct 2025

Real-DRL: Teach and Learn in Reality

133

30 Oct 2025

Adaptive Inverse Kinematics Framework for Learning Variable-Length Tool Manipulation in Robotics

Prathamesh Kothavale

Sravani Boddepalli

30 Oct 2025

Self-Improving Vision-Language-Action Models with Data Generation via Residual RL

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569

30 Oct 2025

Off-policy Reinforcement Learning with Model-based Exploration Augmentation

171

29 Oct 2025

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision

116

29 Oct 2025

Trajectory Design for UAV-Based Low-Altitude Wireless Networks in Unknown Environments: A Digital Twin-Assisted TD3 Approach

28 Oct 2025

Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering

Maximilian Bloor

M. Mowbray

Ehecatl Antonio del Rio Chanona

Calvin Tsay

OffRL

132

28 Oct 2025

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring

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163

28 Oct 2025

Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner

160

27 Oct 2025

Transitive RL: Value Learning via Divide and Conquer

120

26 Oct 2025

Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL

25 Oct 2025

Cloud-Fog-Edge Collaborative Computing for Sequential MIoT Workflow: A Two-Tier DDPG-Based Scheduling Framework

24 Oct 2025

Do You Trust the Process?: Modeling Institutional Trust for Community Adoption of Reinforcement Learning Policies

24 Oct 2025

Continual Knowledge Adaptation for Reinforcement Learning

181

22 Oct 2025

Autobidding Arena: unified evaluation of the classical and RL-based autobidding algorithms

101

22 Oct 2025

Efficient Model-Based Reinforcement Learning for Robot Control via Online Learning

121

21 Oct 2025

Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation

104

21 Oct 2025

Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks

Jostein Barry-Straume

21 Oct 2025

Actor-Free Continuous Control via Structurally Maximizable Q-Functions

109

21 Oct 2025

Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control

Chengxiu Hua

Jiawen Gu

Yushun Tang

257

20 Oct 2025

ALPINE: A Lightweight and Adaptive Privacy-Decision Agent Framework for Dynamic Edge Crowdsensing

116

20 Oct 2025

RL-Driven Security-Aware Resource Allocation Framework for UAV-Assisted O-RANInternational Conference on Wireless Communications and Mobile Computing (IWCMC), 2025

20 Oct 2025

Learning to Design Soft Hands using Reward Models

142

20 Oct 2025

D2C-HRHR: Discrete Actions with Double Distributional Critics for High-Risk-High-Return Tasks

20 Oct 2025

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

104

17 Oct 2025

RLAF: Reinforcement Learning from Automaton Feedback

111

17 Oct 2025

RM-RL: Role-Model Reinforcement Learning for Precise Robot Manipulation

151

16 Oct 2025

Procedural Game Level Design with Deep Reinforcement Learning

Miraç Buğra Özkan

111

16 Oct 2025

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents

147

15 Oct 2025

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication

14 Oct 2025

Expert or not? assessing data quality in offline reinforcement learning

14 Oct 2025

Finite-time Convergence Analysis of Actor-Critic with Evolving Reward

Rui Hu

Yu Chen

Longbo Huang

142

14 Oct 2025

Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development

208

14 Oct 2025

Pruning Cannot Hurt Robustness: Certified Trade-offs in Reinforcement Learning

116

14 Oct 2025

Bayesian Optimization for Dynamic Pricing and Learning

Anush Anand

Pranav Agrawal

Tejas Bodas

133

14 Oct 2025

Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning

167

14 Oct 2025

Heterogeneous RBCs via deep multi-agent reinforcement learning

Federico Gabriele

Aldo Glielmo

Marco Taboga

14 Oct 2025

A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services

Vincenzo Norman Vitale

A. Tulino

Andreas F. Molisch

Jaime Llorca

13 Oct 2025

A Primer on SO(3) Action Representations in Deep Reinforcement Learning

Martin Schuck

Sherif Samy

Angela P. Schoellig

101

13 Oct 2025

Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control

Kanishkha Jaisankar

Xiaoyang Jiang

Feifan Liao

Jeethu Sreenivas Amuthan

104

12 Oct 2025

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

113

11 Oct 2025

Experience-Efficient Model-Free Deep Reinforcement Learning Using Pre-Training

Ruoxing Yang

OffRL

11 Oct 2025

Towards Safe Maneuvering of Double-Ackermann-Steering Robots with a Soft Actor-Critic Framework

102

11 Oct 2025