Yuan Zhang - RankMe

21 papers A* 6A 1Misc 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. Trans. Mach. Learn. Res. Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker
2025	J	`jnl`	Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse. CoRR Zhekai Duan, Yuan Zhang, Shikai Geng, Gaowen Liu, Joschka Boedecker, Chris Xiaoxuan Lu
2025	J	`jnl`	Inverse Reinforcement Learning via Convex Optimization. CoRR Hao Zhu, Yuan Zhang, Joschka Boedecker
2024	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. CoRR Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas Brox, Joschka Bödecker
2024	A*	`conf`	Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach. ICAPS Yuan Zhang, Umashankar Deekshith, Jianhong Wang, Joschka Boedecker
2024	J	`jnl`	Latent Linear Quadratic Regulator for Robotic Control Tasks. CoRR Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka, Colin N. Jones, Joschka Boedecker
2024	A*	`conf`	Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. ICRA Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
2024	A*	`conf`	Open Ad Hoc Teamwork with Cooperative Game Theory. ICML Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
2024	J	`jnl`	Open Ad Hoc Teamwork with Cooperative Game Theory. CoRR Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
2024	A	`conf`	UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. ECAI Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
2024	J	`jnl`	UDUC: An Uncertainty-driven Approach for Learning-based Robust Control. CoRR Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
2023	J	`jnl`	Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. CoRR Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard
2023	J	`jnl`	Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving. CoRR Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou
2023	Misc	`conf`	Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRL Yuan Zhang, Jianhong Wang, Joschka Boedecker
2022	J	`jnl`	Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRR Yuan Zhang, Jianhong Wang, Joschka Boedecker
2022	A*	`conf`	SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning. NeurIPS Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim
2021	A*	`conf`	Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System. ICLR Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
2021	J	`jnl`	SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning. CoRR Jianhong Wang, Jinxin Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim
2020	J	`jnl`	Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System. CoRR Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
2020	A*	`conf`	Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games. AAAI Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
2019	J	`jnl`	Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning. CoRR Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu