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ppo

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An elegant PyTorch deep reinforcement learning library.

  • Updated Apr 3, 2026
  • Python

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

  • Updated Apr 20, 2026
  • Python

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  • Updated Jun 30, 2020
  • Jupyter Notebook

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  • Updated Mar 24, 2023
  • Python

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

  • Updated Sep 3, 2026
  • Python

Massively Parallel Deep Reinforcement Learning. 🔥

  • Updated Feb 20, 2026
  • Python

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

  • Updated May 29, 2022
  • Python

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  • Updated May 2, 2023
  • Jupyter Notebook

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

  • Updated Jun 11, 2025
  • Python

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  • Updated Apr 22, 2023
  • Python

This is the official implementation of Multi-Agent PPO (MAPPO).

  • Updated Jul 18, 2024
  • Python

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

  • Updated Sep 20, 2026
  • Python

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

  • Updated Jul 24, 2021
  • Python

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  • Updated Feb 9, 2021
  • Python

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