Evolving trajectories of the N-body problem. - Jeffrey Tsang (IEEE Congress on Evolutionary Computation, 2008)

Evolved art via control of cellular automata. - Daniel A. Ashlock; Jeffrey Tsang (IEEE Congress on Evolutionary Computation, 2009)

The structure of a depth-3 lookup table representation for Prisoner's Dilemma. - Jeffrey Tsang (CIG, 2010)

The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model. - Jeffrey Tsang (IEEE Trans. Comput. Intell. AI Games, 2010)

The structure of a 3-state finite transducer representation for Prisoner's Dilemma. - Jeffrey Tsang (CIG, 2013)

The structure of a probabilistic 2-state finite transducer representation for Prisoner's Dilemma. - Jeffrey Tsang (IEEE Congress on Evolutionary Computation, 2014)

Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations. - Jeffrey Tsang (CIG, 2014)

Comparing the structure of probabilistic 4- and 8-state finite transducer representations for Prisoner's Dilemma. - Jeffrey Tsang (CIG, 2014)

The Structure of a Probabilistic 1-State Transducer Representation for Prisoner's Dilemma. - Jeffrey Tsang (EvoApplications, 2014)

The evolution of exploitation. - Wendy Ashlock; Jeffrey Tsang; Daniel A. Ashlock (FOCI, 2014)

Fingerprint multilateration for automatically classifying evolved Prisoner's Dilemma agents. - Jeffrey Tsang (FOCI, 2014)

The structure of an 8-state finite transducer representation for prisoner's dilemma. - Jeffrey Tsang (GECCO (Companion), 2014)

Evolving fractal art with a directed acyclic graph genetic programming representation. - Daniel A. Ashlock; Jeffrey Tsang (CEC, 2015)

Play profiles: The effect of infinite-length games on evolution in the iterated Prisoner's Dilemma. - Lee-Ann Barlow; Jeffrey Tsang (CIG, 2015)

The Impact of Obstruction on a Model of Competitive Exclusion in Plants. - Jeffrey Tsang; Daniel A. Ashlock (SSCI, 2015)

The do what's possible representation. - Daniel A. Ashlock; Sierra Gillis; Andrew McEachern; Jeffrey Tsang (CEC, 2016)

Taking All Positive Eigenvectors Is Suboptimal in Classical Multidimensional Scaling. - Jeffrey Tsang; Rajesh Pereira (SIAM J. Optim., 2016)

Hybrid Reward Architecture for Reinforcement Learning. - Harm van Seijen; Mehdi Fatemi; Romain Laroche; Joshua Romoff; Tavian Barnes; Jeffrey Tsang (NIPS, 2017)