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The Top 23 Jupyter Notebook Policy Gradient Open Source Projects

Open source projects categorized as Jupyter Notebook Policy Gradient
Categories > Data Processing > Jupyter Notebook
Categories > Machine Learning > Policy Gradient
Easy Rl ⭐ 7,643
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github
most recent commit 3 months ago
Hands On Reinforcement Learning With Python ⭐ 596
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
most recent commit 4 years ago
Lagom ⭐ 365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
most recent commit 4 years ago
Reinforcement_learning_tutorial_with_demo ⭐ 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..
most recent commit 5 years ago
Trpo ⭐ 315
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
most recent commit 4 years ago
Text_summurization_abstractive_methods ⭐ 310
Multiple implementations for abstractive text summurization , using google colab
most recent commit 4 years ago
Multihopkg ⭐ 252
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
most recent commit 2 years ago
Deep Algotrading ⭐ 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
most recent commit 6 years ago
Deep Reinforcement Learning With Python ⭐ 94
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
most recent commit 3 years ago
Recurrent Ppo Truncated Bptt ⭐ 82
Baseline implementation of recurrent PPO using truncated BPTT
most recent commit 7 months ago
Rl Course Experiments ⭐ 73
most recent commit 7 years ago
Pytorch Rl ⭐ 64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
most recent commit 4 years ago
Reinforcement_learning ⭐ 62
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
most recent commit 2 years ago
Spinning Up A Pong Ai With Deep Rl ⭐ 53
Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.
most recent commit 5 years ago
Torch Policy Gradient ⭐ 44
Deterministic Policy Gradient using torch7
most recent commit 8 years ago
Pytorch Learn Reinforcement Learning ⭐ 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.
most recent commit 3 years ago
Reinforcement Learning ⭐ 39
Personal experiments on Reinforcement Learning
most recent commit 3 years ago
Policy Gradient Methods ⭐ 35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
most recent commit 5 years ago
Chainer Seqgan ⭐ 34
implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
most recent commit 7 years ago
Seqgan Pytorch ⭐ 30
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
most recent commit 4 years ago
Practical_rl ⭐ 24
My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
most recent commit 6 years ago
Python ⭐ 23
most recent commit 2 years ago
Adl2019 ⭐ 19
Applied Deep Learning (2019 Spring) @ NTU
most recent commit 5 years ago
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