SOTAVerified

Deep Reinforcement Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 5822 papers

TitleStatusHype
Less is More: A Stealthy and Efficient Adversarial Attack Method for DRL-based Autonomous Driving Policies—0
Using Deep Reinforcement Learning to Enhance Channel Sampling Patterns in Integrated Sensing and Communication—0
From Mystery to Mastery: Failure Diagnosis for Improving Manipulation Policies—0
GNN-based Auto-Encoder for Short Linear Block Codes: A DRL Approach—0
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement LearningCode0
Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement LearningCode0
Conformal Symplectic Optimization for Stable Reinforcement LearningCode2
A Memory-Based Reinforcement Learning Approach to Integrated Sensing and Communication—0
Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks—0
Combinatorial Rising Bandit—0
SANGO: Socially Aware Navigation through Grouped Obstacles—0
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training—0
A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges—0
JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services—0
Monocular Obstacle Avoidance Based on Inverse PPO for Fixed-wing UAVsCode2
Two-Timescale Digital Twin Assisted Model Interference and Retraining over Wireless Network—0
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration—0
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning—0
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening—0
Continual Deep Reinforcement Learning with Task-Agnostic Policy DistillationCode0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration—0
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay BuffersCode1
Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids—0
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry—0
Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach—0
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoVCode1
Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of BeamlinesCode0
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks—0
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments—0
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life—0
Signaling and Social Learning in Swarms of Robots—0
Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time Applications—0
Reinforcing Competitive Multi-Agents for Playing So Long Sucker—0
Wireless Resource Allocation with Collaborative Distributed and Centralized DRL under Control Channel Attacks—0
Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems—0
That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip DesignCode5
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments—0
Towards Practical Deep Schedulers for Allocating Cellular Radio Resources—0
Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs—0
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning—0
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning—0
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks—0
Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimation—0
GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning—0
To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning for Mobile Edge Computing—0
OCMDP: Observation-Constrained Markov Decision Process—0
Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm—0
Show:102550
← PrevPage 10 of 117Next →

No leaderboard results yet.