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Deep Reinforcement Learning

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TitleStatusHype
Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning—0
Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems—0
Towards Active Flow Control Strategies Through Deep Reinforcement Learning—0
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning—0
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey—0
Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVsCode0
Solving Hidden Monotone Variational Inequalities with Surrogate Losses—0
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping—0
Plasticity Loss in Deep Reinforcement Learning: A Survey—0
UEVAVD: A Dataset for Developing UAV's Eye View Active Object DetectionCode0
Maximizing User Connectivity in AI-Enabled Multi-UAV Networks: A Distributed Strategy Generalized to Arbitrary User Distributions—0
Learning Generalizable Policy for Obstacle-Aware Autonomous Drone RacingCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
A Comparative Study of Deep Reinforcement Learning for Crop Production Management—0
Autonomous Decision Making for UAV Cooperative Pursuit-Evasion Game with Reinforcement Learning—0
Accelerating Task Generalisation with Multi-Level Skill Hierarchies—0
ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal RateCode3
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation—0
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation—0
Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability—0
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services—0
Deep Reinforcement Learning for Trajectory and Phase Shift Optimization of Aerial RIS in CoMP-NOMA Networks—0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning—0
Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks—0
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning—0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem—0
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environmentCode0
Self-Driving Car Racing: Application of Deep Reinforcement Learning—0
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection—0
From Hype to Reality: The Road Ahead of Deploying DRL in 6G Networks—0
Learning Successor Features the Simple WayCode1
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated EvolutionCode0
Reinforcement Learning-Based Downlink Transmit Precoding for Mitigating the Impact of Delayed CSI in Satellite Systems—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient—0
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market SimulationsCode0
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series ForecastingCode1
Adversarial Environment Design via Regret-Guided Diffusion Models—0
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services—0
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights—0
Evolutionary Dispersal of Ecological Species via Multi-Agent Deep Reinforcement Learning—0
Entity-based Reinforcement Learning for Autonomous Cyber DefenceCode1
Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors—0
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning—0
Invisible Manipulation Deep Reinforcement Learning Enhanced Stealthy Attacks on Battery Energy Management Systems—0
Corrected Soft Actor Critic for Continuous Control—0
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"—0
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