Publications (4)
Effective Adaptive Mutation Rates for Program Synthesis
Andrew Ni, Lee Spector
The problem-solving performance of many evolutionary algorithms, including genetic programming systems used for program synthesis, depends on the values of hyperparameters includin…
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
Andrew Ni, Lee Spector
The Traveling Thief Problem is an NP-hard combination of the well known traveling salesman and knapsack packing problems. In this paper, we use symbolic regression to learn useful…
Theory of Mind Guided Strategy Adaptation for Zero-Shot Coordination
Andrew Ni, Simon Stepputtis, Stefanos Nikolaidis +3
A central challenge in multi-agent reinforcement learning is enabling agents to adapt to previously unseen teammates in a zero-shot fashion. Prior work in zero-shot coordination of…
DALex: Lexicase-like Selection via Diverse Aggregation
Andrew Ni, Li Ding, Lee Spector
Lexicase selection has been shown to provide advantages over other selection algorithms in several areas of evolutionary computation and machine learning. In its standard form, lex…