Olle Nilsson

PGA-MAP-Elites. Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy domains. It uses Neuroevolution driven by a Genetic Algorithm (GA) coupled with Policy Gradients (PG) derived from an off-policy Deep Reinforcement Learning method.

QDgym. Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.

Inverse-Design-Tool-for-Multi-Element-Wing-Sections-in-Ground-Effect. Tool for inverse aerodynamic design of multi-element wing sections with option for modelling ground effect. Based on potential-flow theory.

Adverserial-Search-on-m-n-k-games. Implementation of adversarial search by the Minimax algorithm and α-β pruning to play (m, n, k)-games. An (m, n, k)-game is a board game in which two players take turns in placing X's and O's on an m × n board, the winner being the player who first gets 'k' Xs (resp. Os) in a row, horizontally, vertically, or diagonally. Thus, tic-tac-toe is the (3, 3, 3)-game. More information can be found at https://en.wikipedia.org/wiki/M,n,k-game

Algorithms-and-Data-Structures. Repository for algorithms and data structures problems I have solved