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thu-ml / tianshou

An elegant PyTorch deep reinforcement learning library.

pytorch dqn policy-gradient rl cql atari ddpg imitation-learning sac drl npg double-dqn trpo mujoco ppo a2c td3 bcq transferlab

Updated May 8, 2024
Python

vwxyzjn / cleanrl

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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 Apr 25, 2024
Python

andri27-ts / Reinforcement-Learning

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

machine-learning reinforcement-learning qlearning deep-learning deep-reinforcement-learning artificial-intelligence dqn deepmind evolution-strategies ppo a2c policy-gradients

Updated Jun 30, 2020
Jupyter Notebook

simoninithomas / Deep_reinforcement_learning_Course

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

qlearning deep-learning unity tensorflow deep-reinforcement-learning pytorch tensorflow-tutorials deep-q-network actor-critic deep-q-learning ppo a2c

Updated May 2, 2023
Jupyter Notebook

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 / ElegantRL

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Massively Parallel Deep Reinforcement Learning. 🔥

lightweight reinforcement-learning gae efficient pytorch stable dqn ddpg sac per multiple-gpu ppo a2c td3 model-free-rl drl-pytorch bipedalwalkerhardcore

Updated May 5, 2024
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

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 Aug 26, 2022
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.

reinforcement-learning deep-reinforcement-learning pytorch generative-adversarial-network policy-gradient trpo fisher-vectors pytorch-rl proximal-policy-optimization ppo a2c

Updated Feb 9, 2021
Python

qfettes / DeepRL-Tutorials

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Updated May 19, 2021
Jupyter Notebook

TianhongDai / reinforcement-learning-algorithms

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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)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic

Updated Jan 16, 2021
Python

cpnota / autonomous-learning-library

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A PyTorch library for building deep reinforcement learning agents.

reinforcement-learning deep-reinforcement-learning dqn reinforcement-learning-algorithms ddpg sac deep-q-learning deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c soft-actor-critic dqn-pytorch

Updated Mar 17, 2024
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 Oct 23, 2023
Python

Rafael1s / Deep-Reinforcement-Learning-Algorithms

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32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.