Cover Image

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cho, Jung-Hoon, Li, Sirui, Kim, Jeongyun, Wu, Cathy
Format:	Preprint
Published:	2023
Subjects:	Robotics Artificial Intelligence Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
by: Jayawardana, Vindula, et al.
Published: (2025)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning
by: Jayawardana, Vindula, et al.
Published: (2024)

Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
by: Hashemi, Navid, et al.
Published: (2024)

ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
by: Mousist, Alejandro D.
Published: (2025)

From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy
by: Noorani, Erfaun, et al.
Published: (2025)

A Roadmap for Climate-Relevant Robotics Research
by: Papalia, Alan, et al.
Published: (2025)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
by: Honari, Homayoun, et al.
Published: (2024)

Learning from Imperfect Demonstrations via Temporal Behavior Tree-Guided Trajectory Repair
by: Puranic, Aniruddh G., et al.
Published: (2026)

Learning Multiple Initial Solutions to Optimization Problems
by: Sharony, Elad, et al.
Published: (2024)

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
by: Gu, Xinyang, et al.
Published: (2024)

Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
by: Bang, Heeseung, et al.
Published: (2025)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
by: Guillen-Perez, Antonio
Published: (2025)

Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
by: Shirai, Yuki, et al.
Published: (2025)

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
by: Jayawardana, Vindula, et al.
Published: (2024)

Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
by: Liu, Ruijia, et al.
Published: (2025)

Constrained Control for Autonomous Spacecraft Rendezvous: Learning-Based Time Shift Governor
by: Kim, Taehyeun, et al.
Published: (2024)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
by: Shi, Zhouxing, et al.
Published: (2024)

Continuous Control with Coarse-to-fine Reinforcement Learning
by: Seo, Younggyo, et al.
Published: (2024)

Deep Model Predictive Optimization
by: Sacks, Jacob, et al.
Published: (2023)

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
by: Wu, Kangyu, et al.
Published: (2026)

cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
by: Yang, Tao, et al.
Published: (2024)

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination
by: Zheng, Han, et al.
Published: (2024)

Noise-Aware Generative Microscopic Traffic Simulation
by: Jayawardana, Vindula, et al.
Published: (2025)

Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
by: Lin, Albert, et al.
Published: (2023)

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
by: Ganguly, Sourav, et al.
Published: (2025)

Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
by: Yang, Lujie, et al.
Published: (2025)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
by: Guerrier, Maeva, et al.
Published: (2024)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
by: Yang, Lujie, et al.
Published: (2024)

Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving
by: Weng, Qitao, et al.
Published: (2026)

Learning to Fly in Seconds
by: Eschmann, Jonas, et al.
Published: (2023)

Learning Force Control for Legged Manipulation
by: Portela, Tifanny, et al.
Published: (2024)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

Probabilistic Constrained Reinforcement Learning with Formal Interpretability
by: Wang, Yanran, et al.
Published: (2023)

Learning Causal Structure Distributions for Robust Planning
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2025)

HuB: Learning Extreme Humanoid Balance
by: Zhang, Tong, et al.
Published: (2025)

Embedding Morphology into Transformers for Cross-Robot Policy Learning
by: Suzuki, Kei, et al.
Published: (2026)

Predictive Safety Shield for Dyna-Q Reinforcement Learning
by: Pin, Jin, et al.
Published: (2025)

Formal Synthesis of Certifiably Robust Neural Lyapunov-Barrier Certificates
by: Wang, Chengxiao, et al.
Published: (2026)

Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
by: Zhang, Zhihao, et al.
Published: (2025)

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
by: He, Tairan, et al.
Published: (2024)