Hybrid reward architecture for reinforcement learning H Van Seijen, M Fatemi, J Romoff, R Laroche, T Barnes, J Tsang Advances in Neural Information Processing Systems 30, 2017 | 289 | 2017 |
Evolved art via control of cellular automata D Ashlock, J Tsang 2009 IEEE Congress on Evolutionary Computation, 3338-3344, 2009 | 20 | 2009 |
The do what's possible representation D Ashlock, S Gillis, A McEachern, J Tsang 2016 IEEE Congress on Evolutionary Computation (CEC), 1586-1593, 2016 | 13 | 2016 |
The evolution of exploitation W Ashlock, J Tsang, D Ashlock 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 135-142, 2014 | 13 | 2014 |
The parametrized probabilistic finite-state transducer probe game player fingerprint model J Tsang IEEE Transactions on Computational Intelligence and AI in Games 2 (3), 208-224, 2010 | 13 | 2010 |
Evolving fractal art with a directed acyclic graph genetic programming representation D Ashlock, J Tsang 2015 IEEE Congress on Evolutionary Computation (CEC), 2137-2144, 2015 | 7 | 2015 |
The structure of an 8-state finite transducer representation for prisoner's dilemma J Tsang Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 7 | 2014 |
The structure of a depth-3 lookup table representation for Prisoner's Dilemma J Tsang Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010 | 6 | 2010 |
The Structure of the Space of All Game-Playing Strategies J Tsang University of Guelph, 2014 | 5 | 2014 |
Evolving trajectories of the n-body problem J Tsang 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 4 | 2008 |
Taking all positive eigenvectors is suboptimal in classical multidimensional scaling J Tsang, R Pereira SIAM Journal on Optimization 26 (4), 2080-2090, 2016 | 3 | 2016 |
Play profiles: The effect of infinite-length games on evolution in the iterated Prisoner's Dilemma LA Barlow, J Tsang 2015 IEEE Conference on Computational Intelligence and Games (CIG), 368-375, 2015 | 3 | 2015 |
Fingerprint multilateration for automatically classifying evolved Prisoner's Dilemma agents J Tsang 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 98-105, 2014 | 3 | 2014 |
Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations J Tsang 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014 | 3 | 2014 |
The structure of a probabilistic 1-state transducer representation for Prisoner’s Dilemma J Tsang European Conference on the Applications of Evolutionary Computation, 399-410, 2014 | 2 | 2014 |
The structure of a probabilistic 2-state finite transducer representation for prisoner's dilemma J Tsang 2014 IEEE Congress on Evolutionary Computation (CEC), 1202-1209, 2014 | 1 | 2014 |
Defining a Unique Median via Minimizing Families of Norms J Tsang, R Pereira Journal of Convex Analysis 24 (1), 199-212, 2017 | | 2017 |
The Impact of Obstruction on a Model of Competitive Exclusion in Plants J Tsang, D Ashlock 2015 IEEE Symposium Series on Computational Intelligence, 1110-1117, 2015 | | 2015 |
Comparing the structure of probabilistic 4-and 8-state finite transducer representations for Prisoner's Dilemma J Tsang 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014 | | 2014 |
N derivatives are necessary for order N+ 1 convergence in quadrature: a converse result J Tsang arXiv preprint arXiv:1401.7086, 2014 | | 2014 |