Jason M. Traish

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 6

Top Topics

Cognitive Model

Reinforcement Learning

Top Venues

Publications

Chapman Siu, Jason M. Traish, Richard Yi Da Xu
Dual Behavior Regularized Reinforcement Learning. CoRR (2021)
Chapman Siu, Jason M. Traish, Richard Yi Da Xu
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. CoRR (2021)
Luke Marsh, Madeleine Cochrane, Riley Lodge, Brendan Sims, Jason M. Traish, Richard Y. D. Xu
Autonomous Target Allocation Recommendations. SSCI (2020)
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)
David Cotton, Jason M. Traish, Zenon Chaczko
Coevolutionary Deep Reinforcement Learning. SSCI (2020)
Jason M. Traish, James R. Tulip, Wayne Moore
Optimization Using Boundary Lookup Jump Point Search. IEEE Trans. Comput. Intell. AI Games 8 (3) (2016)
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)
Terry Bossomaier, Jason M. Traish, Fernand Gobet, Peter C. R. Lane
Neuro-cognitive model of move location in the game of Go. IJCNN (2012)
Jason M. Traish, James R. Tulip
Towards adaptive online RTS AI with NEAT. CIG (2012)
Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa
A computer vision based camera pedestal's vertical motion control. ICPR (2008)