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a2c

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Reinforcement-Learning

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 Oct 9, 2020
Jupyter Notebook

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 Oct 5, 2020
Python

tianshou

thu-ml / tianshou

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Open

How to support multi-agent reinforcement learning

10

youkaichao commented Jul 9, 2020

I have marked all applicable categories:
- exception-raising bug
- RL algorithm bug
- documentation request (i.e. "X is missing from the documentation.")
- new feature request
I have visited the [source website], and in particular read the [known issues]
I have searched through the [issue tracker] and [issue categories] for duplicates
[ ]

Read more

discussion good first issue

Open

RNN support

44

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).

reinforcement-learning deep-learning deep-reinforcement-learning pytorch atari hessian second-order continuous-control actor-critic ale mujoco proximal-policy-optimization ppo advantage-actor-critic a2c acktr natural-gradients roboschool kfac kronecker-factored-approximation

Updated Aug 29, 2020
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 acer ppo a2c policy-gradients

Updated Jan 28, 2020
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 Sep 25, 2020
Python

SLM-Lab

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 5, 2020
Python

qfettes / DeepRL-Tutorials

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

reinforcement-learning gae deep-reinforcement-learning rainbow python3 pytorch deep-q-network actor-critic double-dqn quantile-regression dueling-dqn categorical-dqn ppo advantage-actor-critic a2c deep-recurrent-q-network prioritized-experience-replay multi-step-learning noisy-networks deeprl-tutorials

Updated Feb 21, 2020
Jupyter Notebook

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 Apr 23, 2020
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 Oct 1, 2020
Python

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 Nov 15, 2019
Python

germain-hug / Deep-RL-Keras

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Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

reinforcement-learning keras openai dqn gym policy-gradient a3c ddpg ddqn keras-rl a2c d3qn dueling

Updated May 25, 2020
Python

Omegastick / pytorch-cpp-rl

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PyTorch C++ Reinforcement Learning

reinforcement-learning cplusplus cpp pytorch reinforcement-learning-algorithms continuous-control actor-critic pytorch-rl proximal-policy-optimization ppo advantage-actor-critic a2c libtorch pytorch-cpp-frontend

Updated May 3, 2020
C++

lcswillems / rl-starter-files

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

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

Updated Apr 20, 2020
Python

marload / DeepRL-TensorFlow2

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🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

machine-learning reinforcement-learning deep-learning algorithms tensorflow deep-reinforcement-learning dqn a3c reinforce ddpg sac double-dqn trpo dueling-dqn ppo a2c rainbow-dqn tensorflow2

Updated May 4, 2020
Python

ChenglongChen / pytorch-DRL

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

reinforcement-learning deep-reinforcement-learning pytorch multi-agent dqn rl deep-q-network ddpg drl actor-critic deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c acktr madrl

Updated Nov 11, 2017
Python

inoryy / tensorflow2-deep-reinforcement-learning

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Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

tensorflow keras deep-reinforcement-learning advantage-actor-critic a2c tensorflow2

Updated Feb 13, 2020
Jupyter Notebook

MG2033 / A2C

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A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

reinforcement-learning computer-vision gym policy-gradient actor-critic openai-gym-environments openai-gym-agents a2c

Updated Feb 10, 2019
Python

cyoon1729 / RLcycle

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A library for ready-made reinforcement learning agents and reusable components for neat prototyping

reinforcement-learning pytorch hydra dqn a3c ddpg sac quantile-regression a2c rainbow-dqn

Updated Aug 23, 2020
Python

simonmeister / pysc2-rl-agents

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StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

tensorflow deep-reinforcement-learning a3c starcraft-ii a2c pysc2 pysc2-agent pysc2-mini-games

Updated Oct 25, 2018
Python

sungyubkim / Deep_RL_with_pytorch

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A pytorch tutorial for DRL(Deep Reinforcement Learning)

deep-reinforcement-learning pytorch dqn mcts uct c51 iqn hedge ppo a2c gail counterfactual-regret-minimization qr-dqn random-network-distillation soft-actor-critic self-imitation-learning

Updated May 1, 2019
Jupyter Notebook

machin

iffiX / machin

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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Updated Sep 2, 2020
Python

pekaalto / sc2aibot

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Implementing reinforcement-learning algorithms for pysc2 -environment

python reinforcement-learning tensorflow deepmind proximal-policy-optimization ppo starcraft2 a2c pysc2

Updated Dec 12, 2017
Python

TianhongDai / self-imitation-learning-pytorch

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This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

reinforcement-learning-algorithms atari-games a2c exploration-exploitation

Updated Nov 4, 2018
Python

jcwleo / mario_rl

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Open

Readme 작성

2

jcwleo opened Sep 15, 2018

good first issue

bentrevett / pytorch-rl

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Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

reinforcement-learning pytorch policy-gradient reinforcement-learning-algorithms rl actor-critic pytorch-tutorial pytorch-tutorials pytorch-rl advantage-actor-critic a2c pytorch-implmention pytorch-implementation generalized-advantage-estimation

Updated Jan 27, 2020
Jupyter Notebook

Rafael1s / Deep-Reinforcement-Learning-Algorithms

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

deep-reinforcement-learning dqn cartpole ddpg sac deep-rl-algorithms ppo a2c lunarlander td3 soft-actor-critic bipedalwalker carracing github-udacity dqn-ppo-ddpg hopperbulletenv antbulletenv halfcheetahbulletenv walker2dbulletenv

Updated Sep 28, 2020
Jupyter Notebook

lcswillems / torch-ac

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Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

reinforcement-learning deep-reinforcement-learning pytorch recurrent-neural-networks multi-process a3c minigrid recurrent actor-critic proximal-policy-optimization ppo advantage-actor-critic a2c reward-shaping

Updated Oct 15, 2020
Python

cyoon1729 / Policy-Gradient-Methods

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Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

reinforcement-learning pytorch a3c ddpg pytorch-rl a2c td3 policy-gradients soft-actor-critic

Updated Jul 23, 2019
Jupyter Notebook

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