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Search results for jupyter notebook policy gradient
jupyter-notebook
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policy-gradient
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29 search results found
Easy Rl
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7,643
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github
Hands On Reinforcement Learning With Python
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596
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Reinforcement_learning_tutorial_with_demo
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357
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..
Trpo
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315
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Text_summurization_abstractive_methods
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310
Multiple implementations for abstractive text summurization , using google colab
Multihopkg
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252
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Deep Algotrading
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145
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
Deep Reinforcement Learning With Python
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94
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Rl Course Experiments
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73
Pytorch Rl
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64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Reinforcement_learning
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62
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Spinning Up A Pong Ai With Deep Rl
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53
Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.
Torch Policy Gradient
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44
Deterministic Policy Gradient using torch7
Pytorch Learn Reinforcement Learning
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42
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Reinforcement Learning
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39
Personal experiments on Reinforcement Learning
Policy Gradient Methods
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35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Chainer Seqgan
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34
implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Seqgan Pytorch
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30
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Practical_rl
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24
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
Python
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23
Adl2019
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19
Applied Deep Learning (2019 Spring) @ NTU
Deep Reinforcement Learning Algorithm Collection
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17
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Deep_rl_pong_keras
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16
Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras
Deep_trading
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14
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
Deep Rl
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8
You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
Cs6700 Reinforcement Learning
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7
Artificial Intelligence series
Optimal Bidding Policy Using Policy Gradient In A Multi Agent Contextual Bandit Setting
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6
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
Adversarial Policy Gradient Augmentation
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5
Adversarial Policy Gradient for Medical Deep Learning Image Augmentation
Gibo
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5
This repository contains the code for the paper "Local policy search with Bayesian optimization".
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