Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning. - Jianhong Wang; Yuan Zhang 027; Tae-Kyun Kim 001; Yunjie Gu (CoRR, 2019)

Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games. - Jianhong Wang; Yuan Zhang 027; Tae-Kyun Kim 001; Yunjie Gu (AAAI, 2020)

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System. - Jianhong Wang; Yuan Zhang 027; Tae-Kyun Kim 001; Yunjie Gu (ICLR, 2021)

SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning. - Jianhong Wang; Jinxin Wang; Yuan Zhang 027; Yunjie Gu; Tae-Kyun Kim 001 (CoRR, 2021)

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning. - Jianhong Wang; Yuan Zhang 027; Yunjie Gu; Tae-Kyun Kim 001 (NeurIPS, 2022)

Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. - Yuan Zhang 027; Jianhong Wang; Joschka Boedecker (CoRL, 2023)

Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving. - Yuan Zhang 027; Joschka Boedecker; Chuxuan Li; Guyue Zhou (CoRR, 2023)

Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. - Shengchao Yan; Yuan Zhang 027; Baohe Zhang; Joschka Boedecker; Wolfram Burgard (CoRR, 2023)

UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. - Yuan Zhang 027; Jasper Hoffmann; Joschka Boedecker (ECAI, 2024)

Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach. - Yuan Zhang 027; Umashankar Deekshith; Jianhong Wang; Joschka Boedecker (ICAPS, 2024)

Open Ad Hoc Teamwork with Cooperative Game Theory. - Jianhong Wang; Yang Li 116; Yuan Zhang 027; Wei Pan 004; Samuel Kaski (ICML, 2024)

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. - Shengchao Yan; Baohe Zhang; Yuan Zhang 027; Joschka Boedecker; Wolfram Burgard (ICRA, 2024)

Constrained Reinforcement Learning with Smoothed Log Barrier Function. - Baohe Zhang; Yuan Zhang 027; Lilli Frison; Thomas Brox; Joschka Bödecker (CoRR, 2024)

Latent Linear Quadratic Regulator for Robotic Control Tasks. - Yuan Zhang 027; Shaohui Yang; Toshiyuki Ohtsuka; Colin N. Jones; Joschka Boedecker (CoRR, 2024)

Inverse Reinforcement Learning via Convex Optimization. - Hao Zhu; Yuan Zhang 027; Joschka Boedecker (CoRR, 2025)