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Deep Reinforcement Learning

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TitleStatusHype
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications—0
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning—0
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy—0
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines—0
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and ConstraintsCode0
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones—0
Efficient Open-world Reinforcement Learning via Knowledge Distillation and Autonomous Rule Discovery—0
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation—0
Towards Explainable Strategy Templates using NLP Transformers—0
A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclistsCode0
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning—0
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem—0
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving CarsCode0
AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL—0
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning—0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation—0
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control—0
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies—0
6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach—0
Benchmarking Feature Extractors for Reinforcement Learning-Based Semiconductor Defect Localization—0
Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach—0
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning—0
Guaranteeing Control Requirements via Reward Shaping in Reinforcement LearningCode0
An MRL-Based Design Solution for RIS-Assisted MU-MIMO Wireless System under Time-Varying Channels—0
Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot—0
Goal-oriented Estimation of Multiple Markov Sources in Resource-constrained Systems—0
TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots—0
An introduction to reinforcement learning for neuroscience—0
Semantic-aware Sampling and Transmission in Energy Harvesting Systems: A POMDP Approach—0
Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems—0
Clipped-Objective Policy Gradients for Pessimistic Policy OptimizationCode0
Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RAN—0
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control—0
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning—0
Intelligent QoS aware slice resource allocation with user association parameterization for beyond 5G ORAN based architecture using DRL—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
Efficient Symbolic Policy Learning with Differentiable Symbolic ExpressionCode0
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning—0
Active Neural Topological Mapping for Multi-Agent Exploration—0
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents—0
Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization—0
Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning—0
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications—0
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning—0
Weakly Coupled Deep Q-Networks—0
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing—0
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