Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Yucheng, Wang, Wenlong, Tao, Xiaowen, Dusparic, Ivana, Cahill, Vinny
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
by: Wang, Wenlong, et al.
Published: (2024)

Geographically-aware Transformer-based Traffic Forecasting for Urban Motorway Digital Twins
by: Kušić, Krešimir, et al.
Published: (2026)

Balancing Multiple Objectives in Urban Traffic Control with Reinforcement Learning from AI Feedback
by: Zhao, Chenyang, et al.
Published: (2026)

Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)

Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems
by: Rosero, Juan C., et al.
Published: (2024)

Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
by: Gajcin, Jasmina, et al.
Published: (2022)

ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
by: Gajcin, Jasmina, et al.
Published: (2024)

TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
by: Rajapakse, Dilina, et al.
Published: (2026)

Semifactual Explanations for Reinforcement Learning
by: Gajcin, Jasmina, et al.
Published: (2024)

Monte-Carlo Tree Search with Neural Network Guidance for Lane-Free Autonomous Driving
by: Peridis, Ioannis, et al.
Published: (2026)

Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
by: Jacquet, Antoine, et al.
Published: (2024)

Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty
by: Norman, Justin, et al.
Published: (2024)

Monte Carlo Search Algorithms Discovering Monte Carlo Tree Search Exploration Terms
by: Cazenave, Tristan
Published: (2024)

Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions
by: de la Rosa, Raul, et al.
Published: (2026)

Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem
by: Boveroux, Laurie, et al.
Published: (2025)

DyRo-MCTS: A Robust Monte Carlo Tree Search Approach to Dynamic Job Shop Scheduling
by: Chen, Ruiqi, et al.
Published: (2025)

Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning
by: McCarthy, James, et al.
Published: (2025)

Epistemic Monte Carlo Tree Search
by: Oren, Yaniv, et al.
Published: (2022)

Generalized Proof-Number Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2025)

Proof Number Based Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2023)

Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
by: Rahmani, Saeed, et al.
Published: (2024)

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
by: Antoniades, Antonis, et al.
Published: (2024)

Monte Carlo Tree Search with Boltzmann Exploration
by: Painter, Michael, et al.
Published: (2024)

Array-Based Monte Carlo Tree Search
by: Ragan, James, et al.
Published: (2025)

Lookahead Pathology in Monte-Carlo Tree Search
by: Nguyen, Khoi P. N., et al.
Published: (2022)

Twice Sequential Monte Carlo for Tree Search
by: Oren, Yaniv, et al.
Published: (2025)

Doubly Robust Monte Carlo Tree Search
by: Liu, Manqing, et al.
Published: (2025)

Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search (Full version)
by: Sasaki, Yuya
Published: (2023)

Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
by: Grelier, Cyril, et al.
Published: (2023)

Prompt-Based Monte Carlo Tree Search for Mitigating Hallucinations in Large Models
by: Duan, Zhihua, et al.
Published: (2025)

Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
by: Ryu, Sangwon, et al.
Published: (2025)

Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
by: Derstroff, Cedric, et al.
Published: (2024)

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization
by: Amiri, Saeid, et al.
Published: (2024)

Power Mean Estimation in Stochastic Monte-Carlo Tree_Search
by: Dam, Tuan, et al.
Published: (2024)

Extreme Value Monte Carlo Tree Search for Classical Planning
by: Asai, Masataro, et al.
Published: (2024)

Anytime Sequential Halving in Monte-Carlo Tree Search
by: Sagers, Dominic, et al.
Published: (2024)

Interpretable Contrastive Monte Carlo Tree Search Reasoning
by: Gao, Zitian, et al.
Published: (2024)

Improving GFlowNets with Monte Carlo Tree Search
by: Morozov, Nikita, et al.
Published: (2024)

Monte Carlo Tree Search in the Presence of Transition Uncertainty
by: Kohankhaki, Farnaz, et al.
Published: (2023)

Monte Carlo Permutation Search
by: Cazenave, Tristan
Published: (2025)