proximal-policy-optimization
Tracked open-source repos tagged proximal-policy-optimization, sorted by stars.
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Repos created in the last 90 days, tagged proximal-policy-optimization.
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- #1
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
★ 10,358+19Star change over the last 7 days - #2
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
★ 9,969+9Star change over the last 7 days - #3
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
★ 9,508-2Star change over the last 7 days - #4
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
★ 2,381+6Star change over the last 7 days - #5
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
★ 697+1Star change over the last 7 days - #6
A PyTorch library for building deep reinforcement learning agents.
★ 657+0Star change over the last 7 days - #7
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
★ 563-1Star change over the last 7 days