Articles with public access mandates - Tianpei YangLearn more
Available somewhere: 17
Exploration in deep reinforcement learning: From single-agent to multiagent domain
J Hao, T Yang, H Tang, C Bai, J Liu, Z Meng, P Liu, Z Wang
IEEE Transactions on Neural Networks and Learning Systems, 2023
Mandates: National Natural Science Foundation of China
From few to more: Large-scale dynamic multiagent curriculum learning
W Wang *, T Yang*, Y Liu*, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7293-7300, 2020
Mandates: National Natural Science Foundation of China
A deep bayesian policy reuse approach against non-stationary agents
Y Zheng, Z Meng, J Hao, Z Zhang, T Yang, C Fan
Advances in neural information processing systems 31, 2018
Mandates: National Natural Science Foundation of China
An efficient transfer learning framework for multiagent reinforcement learning
T Yang, W Wang, H Tang, J Hao, Z Meng, H Mao, D Li, W Liu, Y Chen, ...
Advances in neural information processing systems 34, 17037-17048, 2021
Mandates: National Natural Science Foundation of China
Neighborhood cooperative multiagent reinforcement learning for adaptive traffic signal control in epidemic regions
C Zhang, Y Tian, Z Zhang, W Xue, X Xie, T Yang, X Ge, R Chen
IEEE Transactions on Intelligent Transportation Systems 23 (12), 25157-25168, 2022
Mandates: National Natural Science Foundation of China
Human-in-the-loop reinforcement learning: A survey and position on requirements, challenges, and opportunities
CO Retzlaff, S Das, C Wayllace, P Mousavi, M Afshari, T Yang, A Saranti, ...
Journal of Artificial Intelligence Research 79, 359-415, 2024
Mandates: Austrian Science Fund
Efficient policy detecting and reusing for non-stationarity in markov games
Y Zheng, J Hao, Z Zhang, Z Meng, T Yang, Y Li, C Fan
Autonomous Agents and Multi-Agent Systems 35, 1-29, 2021
Mandates: National Natural Science Foundation of China
Accelerating Norm Emergence Through Hierarchical Heuristic Learning.
T Yang, Z Meng, J Hao, S Sen, C Yu
Proceedings of 22nd European Conference on Artificial Intelligence (ECAI …, 2016
Mandates: National Natural Science Foundation of China
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
T Yang, J Hao, Z Meng, Y Zheng, C Zhang, Z Zheng
AAMAS, 2282-2284, 2019
Mandates: National Natural Science Foundation of China
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Y Cao, Z Li, T Yang, H Zhang, Y Zheng, Y Li, J Hao, Y Liu
Advances in Neural Information Processing Systems 35, 19930-19943, 2022
Mandates: National Natural Science Foundation of China
Cross-domain Adaptive Transfer Reinforcement Learning Based on State-Action Correspondence
H You, T Yang, Y Zheng, J Hao, ME Taylor
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Efficient Deep Reinforcement Learning through Policy Transfer.
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Chen, C Fan, W Wang, Z Wang, ...
AAMAS, 2053-2055, 2020
Mandates: National Natural Science Foundation of China
Advertising impression resource allocation strategy with multi-level budget constraint dqn in real-time bidding
C Zhang, K Zheng, Y Tian, W Xue, T Yang, D An, Y Pi, R Chen
Neurocomputing 488, 647-656, 2022
Mandates: National Natural Science Foundation of China
Learning to shape rewards using a game of two partners
D Mguni, T Jafferjee, J Wang, N Perez-Nieves, W Song, F Tong, M Taylor, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11604 …, 2023
Mandates: Natural Sciences and Engineering Research Council of Canada, UK Research …
Transfer learning based agent for automated negotiation
S Chen, Q Sun, H You, T Yang, J Hao
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
Mandates: National Natural Science Foundation of China
Transfer reinforcement learning based negotiating agent framework
S Chen, T Yang, H You, J Zhao, J Hao, G Weiss
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 386-397, 2023
Mandates: National Natural Science Foundation of China
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space
W Liu, C Zhang, T Yang, J Hao, X Li, Z Bao
PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018
Mandates: National Natural Science Foundation of China
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