Directory-based environments.

Repository for Shoko Server.

A modern and easy to use dashboard. 30+ integrations. 10K+ icons built in. Authentication out of the box. No YAML, drag and drop configuration.

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

PyTorch implementation of SAC-Discrete.

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

A Counter-Strike 2 Demo Parser for Go (demoinfo)