huawei-noah/HEBO

Bayesian optimization in PyTorch

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

A library of reinforcement learning components and agents

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Puffing up reinforcement learning

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent