vwxyzjn / ppo-implementation-details

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

The source code for the gym-microrts paper.

[WIP] Vectorized architecture for value-based methods such as DQN and DDPG

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

#计算机科学#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An educational resource to help anyone learn deep reinforcement learning.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

#计算机科学#Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Open-Sora： 完全开源的高效复现类Sora视频生成方案

大模型Grok-1开源

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

#计算机科学#Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

RewardBench: the first evaluation tool for reward models.

#计算机科学#A curated list of reinforcement learning with human feedback resources (continually updated)

#大语言模型#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

🕵️‍♂️ All-in-one OSINT tool for analysing any website

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Fine-tune LLM agents with online reinforcement learning

#大语言模型#🙌 OpenHands: Code Less, Make More

eBPF distributed networking observability tool for Kubernetes