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reinforcement-learning
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May 1, 2022
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
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May 20, 2022 - C#
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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Apr 15, 2022 - Python
Python Implementation of Reinforcement Learning: An Introduction
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May 10, 2022 - Python
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Apr 10, 2022 - HTML
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
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May 22, 2022 - C++
TensorFlow Tutorials with YouTube Videos
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Jan 15, 2021 - Jupyter Notebook
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May 23, 2022 - Jupyter Notebook
StarCraft II Learning Environment
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Jan 29, 2022 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Nov 1, 2020 - Python
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
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Apr 23, 2022 - Python
Open
Bidirectional RNN
7
jonatasgrosman
commented
Oct 7, 2020
Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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May 20, 2022 - Jupyter Notebook
Build your neural network easy and fast, 莫烦Python中文教学
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May 16, 2022 - Jupyter Notebook
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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Feb 3, 2022
A collection of machine learning examples and tutorials.
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May 22, 2022 - Python
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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May 4, 2022 - Python
Deep Reinforcement Learning for Keras.
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Jan 5, 2022 - Python
A course in reinforcement learning in the wild
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Apr 17, 2022 - Jupyter Notebook
A curated list of awesome self-supervised methods
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Mar 21, 2022
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
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May 21, 2022 - Jupyter Notebook
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Dec 14, 2019 - Jupyter Notebook
A JavaScript deep learning and reinforcement learning library.
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May 7, 2021 - JavaScript
Repo for the Deep Reinforcement Learning Nanodegree program
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Feb 15, 2022 - Jupyter Notebook
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May 23, 2022 - Python
repository to research & share the machine learning articles
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Mar 18, 2022
calerc
commented
Nov 23, 2020
The following applies to DDPG and TD3, and possibly other models. The following libraries were installed in a virtual environment:
numpy==1.16.4
stable-baselines==2.10.0
gym==0.14.0
tensorflow==1.14.0
Episode rewards do not seem to be updated in model.learn() before callback.on_step(). Depending on which callback.locals variable is used, this means that:
- episode rewards may n
YannBerthelot
commented
Jan 18, 2022
🐛 Bug
The documentation of DQN agent (https://stable-baselines3.readthedocs.io/en/master/modules/dqn.html) specifies that log_interval parameter is "The number of timesteps before logging". However, when set to 1 (or any other value) the logging is not made at that pace but is instead made every log_interval episode (and not timesteps). In the example below this is made every 200 timesteps.
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