Image de couverture de livre

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sheng, Zihao, Huang, Zilin, Chen, Sikai
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
par: Qu, Yansong, et autres
Publié: (2026)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
par: Huang, Zilin, et autres
Publié: (2024)

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
par: Huang, Zilin, et autres
Publié: (2024)

Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning
par: Remonda, Adrian, et autres
Publié: (2021)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
par: Sukhija, Bhavya, et autres
Publié: (2024)

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
par: Huang, Zilin, et autres
Publié: (2024)

Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
par: Chen, Wenqian, et autres
Publié: (2024)

Causal prompting model-based offline reinforcement learning
par: Yu, Xuehui, et autres
Publié: (2024)

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
par: Dohmen, Jan, et autres
Publié: (2024)

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
par: Hutson, Miles, et autres
Publié: (2024)

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
par: Moen, Hans, et autres
Publié: (2024)

Learning to summarize user information for personalized reinforcement learning from human feedback
par: Nam, Hyunji, et autres
Publié: (2025)

Deep residual learning with product units
par: Li, Ziyuan, et autres
Publié: (2025)

Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
par: Wan, Guangxi, et autres
Publié: (2025)

BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
par: Ikhtiarudin, Azhar, et autres
Publié: (2025)

Economic span selection of bridge based on deep reinforcement learning
par: Zhang, Leye, et autres
Publié: (2024)

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
par: Huang, Zilin, et autres
Publié: (2026)

Guided Safe Shooting: model based reinforcement learning with safety constraints
par: Paolo, Giuseppe, et autres
Publié: (2022)

Normalization and effective learning rates in reinforcement learning
par: Lyle, Clare, et autres
Publié: (2024)

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
par: Kobayashi, Seijin, et autres
Publié: (2025)

WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
par: Guo, Ziyou, et autres
Publié: (2024)

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning
par: Zhao, Hanyang, et autres
Publié: (2024)

Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
par: Yang, Juntang, et autres
Publié: (2025)

Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
par: Zhang, Ruixuan, et autres
Publié: (2024)

On the consistency of hyper-parameter selection in value-based deep reinforcement learning
par: Obando-Ceron, Johan, et autres
Publié: (2024)

An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
par: Alam, Md Ferdous, et autres
Publié: (2023)

Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
par: Bora, Aniruddha, et autres
Publié: (2026)

Leveraging LLMs for reward function design in reinforcement learning control tasks
par: Cardenoso, Franklin, et autres
Publié: (2025)

Curriculum reinforcement learning with measurable task representation learning
par: Wen, Yongyan, et autres
Publié: (2026)

Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
par: Renard, Titouan, et autres
Publié: (2024)

Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
par: Wang, Zhongzheng, et autres
Publié: (2024)

Dynamic feature selection in medical predictive monitoring by reinforcement learning
par: Chen, Yutong, et autres
Publié: (2024)

CHARME: A chain-based reinforcement learning approach for the minor embedding problem
par: Ngo, Hoang M., et autres
Publié: (2024)

Simulation-based reinforcement learning for real-world autonomous driving
par: Osiński, Błażej, et autres
Publié: (2019)

FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL
par: Koh, Woosung, et autres
Publié: (2024)

Estimating unknown parameters in differential equations with a reinforcement learning based PSO method
par: Sun, Wenkui, et autres
Publié: (2024)

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
par: Goldenits, Georg, et autres
Publié: (2024)

In value-based deep reinforcement learning, a pruned network is a good network
par: Obando-Ceron, Johan, et autres
Publié: (2024)

ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
par: Zhang, Qiang, et autres
Publié: (2026)

SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding
par: Sheng, Zihao, et autres
Publié: (2025)