Zheng Tian
Cited by
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Thinking fast and slow with deep learning and tree search
T Anthony, Z Tian, D Barber
Advances in Neural Information Processing Systems, 5360-5370, 2017
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on Robot Learning, 264-285, 2021
Multi-Agent Constrained Policy Optimisation
S Gu, JG Kuba, M Wen, R Chen, Z Wang, Z Tian, J Wang, A Knoll, Y Yang
arXiv preprint arXiv:2110.02793, 2021
A regularized opponent model with maximum entropy objective
Z Tian, Y Wen, Z Gong, F Punakkath, S Zou, J Wang
arXiv preprint arXiv:1905.08087, 2019
Learning to Communicate Implicitly by Actions.
Z Tian, S Zou, I Davies, T Warr, L Wu, H Bou-Ammar, J Wang
AAAI, 7261-7268, 2020
M2N: mesh movement networks for PDE solvers
W Song, M Zhang, JG Wallwork, J Gao, Z Tian, F Sun, M Piggott, J Chen, ...
Advances in Neural Information Processing Systems 35, 7199-7210, 2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
C Yu, W Zhang, H Lai, Z Tian, L Kneip, J Wang
2023 IEEE International Conference on Robotics and Automation (ICRA), 7250-7257, 2023
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
H Lai, W Zhang, X He, C Yu, Z Tian, Y Yu, J Wang
2023 IEEE International Conference on Robotics and Automation (ICRA), 5141-5147, 2023
Order Matters: Agent-by-agent Policy Optimization
X Wang, Z Tian, Z Wan, Y Wen, J Wang, W Zhang
arXiv preprint arXiv:2302.06205, 2023
A game-theoretic approach to multi-agent trust region optimization
Y Wen, H Chen, Y Yang, M Li, Z Tian, X Chen, J Wang
International Conference on Distributed Artificial Intelligence, 74-87, 2022
Learning to Model Opponent Learning (Student Abstract)
I Davies, Z Tian, J Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13771 …, 2020
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Y Wen, Z Wan, M Zhou, S Hou, Z Cao, C Le, J Chen, Z Tian, W Zhang, ...
arXiv preprint arXiv:2212.12669, 2022
An Empirical Study on Google Research Football Multi-agent Scenarios
Y Song, H Jiang, Z Tian, H Zhang, Y Zhang, J Zhu, Z Dai, W Zhang, ...
arXiv preprint arXiv:2305.09458, 2023
Learning to Safely Exploit a Non-Stationary Opponent
Z Tian, H Ren, Y Yang, Y Sun, Z Han, I Davies, J Wang
Multi-agent trust region learning
Y Wen, H Chen, Y Yang, Z Tian, M Li, X Chen, J Wang
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space
K Yin, S Zou, Y Ge, Z Tian
arXiv preprint arXiv:2403.00691, 2024
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework
W Zu, W Song, R Chen, Z Guo, F Sun, Z Tian, W Pan, J Wang
arXiv preprint arXiv:2311.08244, 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Y Song, H Jiang, H Zhang, Z Tian, W Zhang, J Wang
arXiv preprint arXiv:2309.12951, 2023
Cross-utterance Conditioned Coherent Speech Editing
C Yu, Y Li, W Zu, F Sun, Z Tian, J Wang
Interspeech, 2023
Opponent Modelling in Multi-Agent Systems
Z Tian
UCL (University College London), 2021
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