MinimaxQ-Learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An elegant PyTorch deep reinforcement learning library.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

[GenAI Application Development Framework] ? Build GenAI application quick and easy ? Easy to interact with GenAI agent in code using structure data and chained-calls syntax ? Use Agently Workflow to manage complex GenAI working logic ? Switch to any model without rewrite application code

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Distributed RL System for LLM Reasoning