Yuan Zhang

According to our database, Yuan Zhang authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Inverse Reinforcement Learning via Convex Optimization.

Hao Zhu, Yuan Zhang, Joschka Boedecker

CoRR, January, 2025

2024

Latent Linear Quadratic Regulator for Robotic Control Tasks.

Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka, Colin N. Jones, Joschka Boedecker

CoRR, 2024

Constrained Reinforcement Learning with Smoothed Log Barrier Function.

Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker

CoRR, 2024

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry.

Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open Ad Hoc Teamwork with Cooperative Game Theory.

Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach.

Yuan Zhang, Umashankar Deekshith, Jianhong Wang, Joschka Boedecker

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control.

Yuan Zhang, Jasper Hoffmann, Joschka Boedecker

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning.

Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard

CoRR, 2023

Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving.

Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou

CoRR, 2023

Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization.

Yuan Zhang, Jianhong Wang, Joschka Boedecker

Proceedings of the Conference on Robot Learning, 2023

2022

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning.

Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning.

Jianhong Wang, Jinxin Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim

CoRR, 2021

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System.

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games.

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning.

Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

CoRR, 2019