Preparation material and resources for the ML (including DL) and Quant Research interviews

Fast Deep Evolutionary Network Structured Representation

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CoDeepNEAT inspired implementation using Keras and Tensorflow as backend.

Evolving Neural Network through the Reverse Encoding Tree

Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning

Combining Evolutionary Algorithms and deep RL in various ways

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

An implementation of the Augmented Random Search algorithm

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

Deep Neuroevolution

This project solves Gym's Bipedal Walker problem using modified deep neuroevolution.

Code for Go-Explore: a New Approach for Hard-Exploration Problems