proximal-policy-optimization

12 projects share this GitHub topic

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🧬 Members

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly…

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & …

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable…

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Super-mario-bros-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and…

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and…

Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Deep Reinforcement Learning in C#

🔗 Related families

ppo 39 a2c 18 actor-critic 20 advantage-actor-critic 6 ddpg 24 deep-deterministic-policy-gradient 8 dqn 43 policy-gradient 23

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