Sheng Han

Orcid: 0000-0003-4049-3690

Affiliations:
  • Beijing Jiaotong University, China


According to our database1, Sheng Han authored at least 24 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Multi-constraint reinforcement learning in complex robot environments.
Frontiers Comput. Sci., August, 2025

Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints.
IEEE Trans. Syst. Man Cybern. Syst., March, 2025

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Improving Monotonic Optimization in Heterogeneous Multi-agent Reinforcement Learning with Optimal Marginal Deterministic Policy Gradient.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space.
CoRR, 2024

GHQ: grouped hybrid Q-learning for cooperative heterogeneous multi-agent reinforcement learning.
Complex Intell. Syst., 2024

Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A lightweight and style-robust neural network for autonomous driving in end side devices.
Connect. Sci., December, 2023

Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving.
IEEE Trans. Veh. Technol., April, 2023

Identity-Guided Spatial Attention for Vehicle Re-Identification.
Sensors, 2023

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning.
CoRR, 2023

Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Multi-mobile Object Motion Coordination with Reinforcement Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Conservative Distributional Reinforcement Learning with Safety Constraints.
CoRR, 2022

2021
Collision-aware Multi-robot Motion Coordination Deep-RL with Dynamic Priority Strategy.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Solving Open Shop Scheduling Problem via Graph Attention Neural Network.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2017
Neural Network Control Method for Mobile Robot Trajectory Tracking.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017


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