ppo

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

python machine-learning reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym atari actor-critic ale proximal-policy-optimization ppo advantage-actor-critic a2c wandb phasic-policy-gradient

Updated Jul 8, 2025
Python

sweetice / Deep-reinforcement-learning-with-pytorch

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

algorithm deep-learning deep-reinforcement-learning pytorch dqn policy-gradient sarsa resnet a3c reinforce sac alphago actor-critic trpo ppo a2c actor-critic-algorithm td3

Updated Mar 24, 2023
Python

ikostrikov / pytorch-a2c-ppo-acktr-gail

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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

AI4Finance-Foundation / FinRL-Trading

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For trading. Please star.

deep-reinforcement-learning openai-gym sharpe-ratio ddpg stock-trading ppo a2c-algorithm ensemble-strategy stock-trading-strategy automated-stock-trading

Updated Dec 7, 2025
Python

ShangtongZhang / DeepRL

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Modularized Implementation of Deep RL Algorithms in PyTorch

deep-reinforcement-learning rainbow pytorch dqn ddpg double-dqn dueling-network-architecture quantile-regression option-critic-architecture deeprl categorical-dqn ppo a2c prioritized-experience-replay option-critic td3

Updated Apr 16, 2024
Python

seungeunrho / minimalRL

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

machine-learning reinforcement-learning deep-learning simple deep-reinforcement-learning pytorch dqn a3c reinforce ddpg sac acer ppo a2c policy-gradients

Updated Apr 22, 2023
Python

nikhilbarhate99 / PPO-PyTorch

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

reinforcement-learning deep-learning deep-reinforcement-learning pytorch policy-gradient reinforcement-learning-algorithms pytorch-tutorial proximal-policy-optimization ppo pytorch-implmention ppo-pytorch

Updated Jul 9, 2024
Python

XinJingHao / DRL-Pytorch

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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)

machine-learning reinforcement-learning asl deep-reinforcement-learning q-learning pytorch ddpg sac double-dqn c51 dueling-dqn categorical-dqn ppo prioritized-experience-replay noisynet-dqn td3

Updated Jun 11, 2025
Python

marlbenchmark / on-policy

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

algorithms multi-agent hanabi smac ppo mpes starcraftii mappo

Updated Jul 18, 2024
Python

kengz / SLM-Lab

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

benchmark reinforcement-learning deep-reinforcement-learning pytorch dqn policy-gradient a3c sac ppo a2c

Updated Dec 17, 2025
Python

vietnh1009 / Super-mario-bros-PPO-pytorch

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Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

python mario reinforcement-learning ai deep-learning openai-gym python3 pytorch openai gym super-mario-bros proximal-policy-optimization ppo ppo2

Updated Jul 24, 2021
Python

lcswillems / rl-starter-files

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RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

pytorch multi-process a3c minigrid ppo a2c reward-shaping preprocessed-observations

Updated May 12, 2024
Python

Khrylx / PyTorch-RL

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