学习 分类论文(5,494)
清除筛选 ✕Achieving Safe Control Online through Integration of Harmonic Control Lyapunov-Barrier Functions with Unsafe Object-Centric Action Policies
Marlow Fawn, Matthias Scheutz
2025
A Receding Horizon Reinforcement Learning Framework for Campus Chiller Energy Management - A case study from an Australian University
Laura Musgrave, Arnab Bhattacharjee, Tapan Kumar Saha
2025
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches
Ibrahim Khalil Kabir, Muhammad Faizan Mysorewala
2025
PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image
Ziang Cao, Fangzhou Hong, Zhaoxi Chen 等 5 位作者
2025
Physics-Informed Neural Networks for Nonlinear Output Regulation
Sebastiano Mengozzi, Giovanni B. Esposito, Michelangelo Bin 等 6 位作者
2025
PIGEON: VLM-Driven Object Navigation via Points of Interest Selection
Cheng Peng, Zhenzhe Zhang, Cheng Chi 等 10 位作者
2025
DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious Play
Akash Karthikeyan, Yash Vardhan Pant
2025
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
Vidur Sinha, Muhammed Ustaomeroglu, Guannan Qu
2025
ResAlignNet: A Data-Driven Approach for INS/DVL Alignment
Guy Damari, Itzik Klein
2025
Orientation-Free Neural Network-Based Bias Estimation for Low-Cost Stationary Accelerometers
Michal Levin, Itzik Klein
2025
An Online Multiobjective Policy Gradient for Long-run Average-reward Markov Decision Process
Rahul Misra, Manuela L. Bujorianu, Rafał Wisniewski
2025
Wide-Area Feedback Control for Renewables-Heavy Power Systems: A Comparative Study of Reinforcement Learning and Lyapunov-Based Design
Muhammad Nadeem, MirSaleh Bahavarnia, Ahmad F. Taha
2025
Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach
Liangshun Wu, Wen Chen, Shunqing Zhang 等 5 位作者
2025
From Black-Box to White-Box: Control-Theoretic Neural Network Interpretability
Jihoon Moon
2025
Structured Imitation Learning of Interactive Policies through Inverse Games
Max M. Sun, Todd Murphey
2025
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
Julia Santaniello, Matthew Russell, Benson Jiang 等 6 位作者
2025
Discrete-Time Stability Analysis of ReLU Feedback Systems via Integral Quadratic Constraints
Sahel Vahedi Noori, Bin Hu, Geir Dullerud 等 4 位作者
2025
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
Zhenshuo Zhang, Minxuan Duan, Youran Ye 等 4 位作者
2025
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
Timur Anvar, Jeffrey Chen, Yuyan Wang 等 4 位作者
2025
Quantifying Distribution Shift in Traffic Signal Control with Histogram-Based GEH Distance
Federico Taschin, Ozan K. Tonguz
2025
ClutterNav: Gradient-Guided Search for Efficient 3D Clutter Removal with Learned Costmaps
Navin Sriram Ravie, Keerthi Vasan M, Bijo Sebastian
2025
DER Day-Ahead Offering: A Neural Network Column-and-Constraint Generation Approach
Weiqi Meng, Hongyi Li, Bai Cui
2025
SocialNav-Map: Dynamic Mapping with Human Trajectory Prediction for Zero-Shot Social Navigation
Lingfeng Zhang, Erjia Xiao, Xiaoshuai Hao 等 10 位作者
2025
Implicit Neural Field-Based Process Planning for Multi-Axis Manufacturing: Direct Control over Collision Avoidance and Toolpath Geometry
Neelotpal Dutta, Tianyu Zhang, Tao Liu 等 5 位作者
2025