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2020 – today
- 2021
[i2]Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. CoRR abs/2109.09034 (2021)- [i1]Chapman Siu, Jason M. Traish, Richard Yi Da Xu:
Dual Behavior Regularized Reinforcement Learning. CoRR abs/2109.09037 (2021) - 2020
- [c7]Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason M. Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
:
End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation. ECCV (28) 2020: 477-493 - [c6]Luke Marsh, Madeleine Cochrane, Riley Lodge, Brendan Sims, Jason M. Traish, Richard Y. D. Xu:
Autonomous Target Allocation Recommendations. SSCI 2020: 1403-1410 - [c5]David Cotton, Jason M. Traish, Zenon Chaczko:
Coevolutionary Deep Reinforcement Learning. SSCI 2020: 2600-2607
2010 – 2019
- 2016
- [j1]Jason M. Traish, James R. Tulip, Wayne Moore:
Optimization Using Boundary Lookup Jump Point Search. IEEE Trans. Comput. Intell. AI Games 8(3): 268-277 (2016) - 2015
- [c4]Nathan R. Sturtevant, Jason M. Traish, James R. Tulip, Tansel Uras, Sven Koenig, Ben Strasser, Adi Botea, Daniel Harabor, Steve Rabin:
The Grid-Based Path Planning Competition: 2014 Entries and Results. SOCS 2015: 241-250 - 2012
- [c3]Jason M. Traish, James R. Tulip:
Towards adaptive online RTS AI with NEAT. CIG 2012: 430-437 - [c2]Terry Bossomaier, Jason M. Traish, Fernand Gobet, Peter C. R. Lane:
Neuro-cognitive model of move location in the game of Go. IJCNN 2012: 1-7
2000 – 2009
- 2008
- [c1]Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa:
A computer vision based camera pedestal's vertical motion control. ICPR 2008: 1-4
Coauthor Index
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