Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Robotics — 6 papers
• Machine Learning — 2 papers
• Systems and Control — 2 papers
• Autonomous Vehicle Technology and Safety — 1 papers
• Multiagent Systems — 1 papers
• Model Reduction and Neural Networks — 1 papers
• Robotic Path Planning Algorithms — 1 papers
• Air Quality Monitoring and Forecasting — 1 papers
• Adaptive Control of Nonlinear Systems — 1 papers
• Military Defense Systems Analysis — 1 papers

Highest-Cited Papers

1. Safeguarded Reinforcement Learning for Dynamic Environments
2. Calibrate Once, Fly Any Team: Residual-Grounded Low-Fidelity Training for Cooperative Drone Swarms
3. CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors
4. Learning Communication-Conditioned Generative Policies for Decentralized Multi-Agent Collision Avoidance
5. U-STAR-PIML: Uncertainty-Aware Staged Trust-Adaptive Residual Physics-Informed Machine Learning for Recursive Fixed-Wing Unmanned Aerial Vehicle Dynamics Prediction
6. From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs
7. MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies
8. CMRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
9. Credibility-Aware Learning and Control for Safe USV Navigation under Perception Uncertainty
10. Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation
11. Waypoint Navigation of a 2D Drone in Stochastic Environment via Regularised Proximal Policy Optimisation
12. Deep reinforcement learning-based adaptive fusion method for low-altitude multi-source heterogeneous sensing data
13. Fast Integral Terminal Sliding Mode Control for UUV Trajectory Tracking Based on Deep Reinforcement Learning
14. Cognitively-Grounded On-Device Runtime Learning for Ground Robots in Unknown Physical Environments
15. TAP-DDQN: Multiplicative Potential-Based Reward Shaping Framework for Tactical Decision-Making of Unmanned Surface Vehicles in Adversarial Maritime Engagements
16. Dynamical System-Based Imitation Learning and Neuroadaptive Control for Trajectory Recovery in Autonomous Ships
17. Complex Aircraft Maneuvering using Reinforcement-Learning-Augmented Sliding Mode-Based Control
18. Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations