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Jeffrey Tsang
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2010 – 2019
- 2017
- [c16]Harm van Seijen, Mehdi Fatemi, Romain Laroche, Joshua Romoff, Tavian Barnes, Jeffrey Tsang:
Hybrid Reward Architecture for Reinforcement Learning. NIPS 2017: 5392-5402 - [i3]Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang:
Hybrid Reward Architecture for Reinforcement Learning. CoRR abs/1706.04208 (2017) - 2016
- [j2]Jeffrey Tsang, Rajesh Pereira
:
Taking All Positive Eigenvectors Is Suboptimal in Classical Multidimensional Scaling. SIAM J. Optim. 26(4): 2080-2090 (2016) - [c15]Daniel A. Ashlock, Sierra Gillis, Andrew McEachern, Jeffrey Tsang:
The do what's possible representation. CEC 2016: 1586-1593 - 2015
- [c14]Daniel A. Ashlock, Jeffrey Tsang:
Evolving fractal art with a directed acyclic graph genetic programming representation. CEC 2015: 2137-2144 - [c13]Lee-Ann Barlow, Jeffrey Tsang:
Play profiles: The effect of infinite-length games on evolution in the iterated Prisoner's Dilemma. CIG 2015: 368-375 - [c12]Jeffrey Tsang, Daniel A. Ashlock:
The Impact of Obstruction on a Model of Competitive Exclusion in Plants. SSCI 2015: 1110-1117 - 2014
- [c11]Jeffrey Tsang:
The structure of a probabilistic 2-state finite transducer representation for Prisoner's Dilemma. IEEE Congress on Evolutionary Computation 2014: 1202-1209 - [c10]Jeffrey Tsang:
Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations. CIG 2014: 1-8 - [c9]Jeffrey Tsang:
Comparing the structure of probabilistic 4- and 8-state finite transducer representations for Prisoner's Dilemma. CIG 2014: 1-8 - [c8]Jeffrey Tsang:
The Structure of a Probabilistic 1-State Transducer Representation for Prisoner's Dilemma. EvoApplications 2014: 399-410 - [c7]Jeffrey Tsang:
Fingerprint multilateration for automatically classifying evolved Prisoner's Dilemma agents. FOCI 2014: 98-105 - [c6]Wendy Ashlock, Jeffrey Tsang, Daniel A. Ashlock:
The evolution of exploitation. FOCI 2014: 135-142 - [c5]Jeffrey Tsang:
The structure of an 8-state finite transducer representation for prisoner's dilemma. GECCO (Companion) 2014: 159-160 - [i2]Jeffrey Tsang:
The parametrized probabilistic finite-state transducer probe game player fingerprint model. CoRR abs/1401.7406 (2014) - [i1]Jeffrey Tsang, Rajesh Pereira:
Taking all positive eigenvectors is suboptimal in classical multidimensional scaling. CoRR abs/1402.2703 (2014) - 2013
- [c4]Jeffrey Tsang
:
The structure of a 3-state finite transducer representation for Prisoner's Dilemma. CIG 2013: 1-7 - 2010
- [j1]Jeffrey Tsang
:
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model. IEEE Trans. Comput. Intell. AI Games 2(3): 208-224 (2010) - [c3]Jeffrey Tsang
:
The structure of a depth-3 lookup table representation for Prisoner's Dilemma. CIG 2010: 54-61
2000 – 2009
- 2009
- [c2]Daniel A. Ashlock, Jeffrey Tsang
:
Evolved art via control of cellular automata. IEEE Congress on Evolutionary Computation 2009: 3338-3344 - 2008
- [c1]Jeffrey Tsang
:
Evolving trajectories of the N-body problem. IEEE Congress on Evolutionary Computation 2008: 3726-3733
Coauthor Index
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