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policy-gradient

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MorvanZhou / Reinforcement-learning-with-tensorflow

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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

machine-learning tutorial reinforcement-learning q-learning dqn policy-gradient sarsa tensorflow-tutorials a3c deep-q-network ddpg actor-critic asynchronous-advantage-actor-critic double-dqn prioritized-replay sarsa-lambda dueling-dqn deep-deterministic-policy-gradient proximal-policy-optimization ppo

Updated Nov 1, 2020
Python

tianshou

thu-ml / tianshou

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Open

How to support multi-agent reinforcement learning

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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
[ ]

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discussion good first issue

rlcode / reinforcement-learning

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Minimal and Clean Reinforcement Learning Examples

machine-learning reinforcement-learning deep-learning deep-reinforcement-learning dqn policy-gradient a3c deep-q-network actor-critic

Updated Jun 8, 2021
Python

datawhalechina / easy-rl

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强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

reinforcement-learning deep-reinforcement-learning q-learning dqn policy-gradient sarsa a3c ddpg imitation-learning ppo

Updated Jul 19, 2021
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 May 21, 2021
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 Jun 12, 2021
Python

Kismuz / btgym

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Scalable, event-driven, deep-learning-friendly backtesting library

reinforcement-learning time-series tensorflow deep-reinforcement-learning openai-gym unreal policy-gradient a3c hacktoberfest algorithmic-trading-library quantitive-finance backtesting-trading-strategies statistical-arbitrage gym-environment advantage-actor-critic backtrader policy-optimisation algoritmic-trading

Updated Nov 2, 2020
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

yaserkl / RLSeq2Seq

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Deep Reinforcement Learning For Sequence to Sequence Models

nlp reinforcement-learning policy-gradient actor-critic abstractive-text-summarization pointer-generator

Updated Nov 13, 2020
Python

sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python

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Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients

Updated Oct 7, 2020
Jupyter Notebook

suragnair / seqGAN

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A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

nlp natural-language-processing deep-learning generative-adversarial-network gan generative-model policy-gradient natural-language-understanding seqgan

Updated Sep 27, 2018
Python

yukezhu / tensorflow-reinforce

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Implementations of Reinforcement Learning Models in Tensorflow

reinforcement-learning tensorflow deep-reinforcement-learning policy-gradient deep-q-network actor-critic

Updated Oct 31, 2017
Python

omerbsezer / Reinforcement_learning_tutorial_with_demo

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Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

machine-learning tutorial reinforcement-learning deep-reinforcement-learning q-learning pomdps policy-gradient sarsa a3c dynamic-programming imitation-learning dyna td-learning actor-critic meta-learning

Updated Jan 22, 2019
Jupyter Notebook

VinF / deer

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DEEp Reinforcement learning framework

deep-reinforcement-learning q-learning policy-gradient

Updated Jul 3, 2021
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 Apr 20, 2021
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

awesome-monte-carlo-tree-search-papers

benedekrozemberczki / awesome-monte-carlo-tree-search-papers

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A curated list of Monte Carlo tree search papers with implementations.

learning machine-learning reinforcement-learning deep-learning monte-carlo machine-learning-algorithms q-learning policy-gradient reinforcement-learning-algorithms rl tree-search atari policy-evaluation monte-carlo-tree-search deep-q-learning reinforcement-learning-agent

Updated Jul 25, 2021
Python

navneet-nmk / pytorch-rl

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This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Updated Jul 14, 2019
Python

medipixel / rl_algorithms

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Structural implementation of RL key algorithms

reinforcement-learning deep-learning python3 pytorch dqn gym policy-gradient

Updated Jul 30, 2021
Python

theamrzaki / text_summurization_abstractive_methods

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Multiple implementations for abstractive text summurization , using google colab

nlp machine-learning reinforcement-learning ai deep-learning tensorflow word2vec artificial-intelligence policy-gradient rnn text-summarization seq2seq machinelearning deeplearning encoder-decoder abstractive-text-summarization google-colab pointer-generator google-colaboratory

Updated Oct 6, 2020
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zuoxingdong / lagom

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

python machine-learning research reinforcement-learning deep-learning deep-reinforcement-learning pytorch artificial-intelligence policy-gradient ddpg sac cem cmaes evolution-strategies mujoco deep-deterministic-policy-gradient proximal-policy-optimization ppo td3 soft-actor-critic

Updated Feb 26, 2020
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pat-coady / trpo

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Trust Region Policy Optimization with TensorFlow and OpenAI Gym

machine-learning reinforcement-learning tensorflow policy-gradient mujoco

Updated Jun 2, 2020
Jupyter Notebook

kengz / openai_lab

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An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

experiment algorithm reinforcement-learning tensorflow keras deep-reinforcement-learning openai policy-gradient experimentation codacy-badge ddpg actor-critic rigor

Updated Feb 9, 2018
Python

rlcode / reinforcement-learning-kr

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[파이썬과 케라스로 배우는 강화학습] 예제

openai-gym dqn grid-world policy-gradient actor-critic

Updated Oct 28, 2020
Python

salesforce / MultiHopKG

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Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

reinforcement-learning pytorch knowledge-graph policy-gradient reward-shaping action-dropout multi-hop-reasoning

Updated Jan 3, 2021
Jupyter Notebook

LiamConnell / deep-algotrading

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A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

reinforcement-learning deep-learning neural-network tensorflow lstm policy-gradient

Updated Feb 16, 2018
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

RITCHIEHuang / DeepRL_Algorithms

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DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

deep-reinforcement-learning dqn policy-gradient reinforcement-learning-algorithms reinforcement trpo mujoco pytorch-rl ppo td3 pytorch-implementation soft-actor-critic tensorflow2 policygradient

Updated May 23, 2021
Python

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 Oct 23, 2020
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tsenghungchen / show-adapt-and-tell

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Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

reinforcement-learning tensorflow policy-gradient image-captioning adversarial-networks

Updated Jan 8, 2019
Python

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