Popular GitHub Repositories for Population Based Training

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

Vectorization techniques for fast population-based training.

A Population Based Reinforcement Learning Library based on PyTorch

(AAAI24 oral) Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)

Applying Population Based Training on Generative Adversarial Networks.

Population-Based Training (PBT) implementation on ddpg

My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].

Optimize for topology, hyperparameters, and weights of Neural Nets in single joint training process using Augmented Population Based Training