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Unity Machine Learning Agents Toolkit
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Python Implementation of Reinforcement Learning: An Introduction
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Open
Bidirectional RNN
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jonatasgrosman
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Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?
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Build your neural network easy and fast, 莫烦Python中文教学
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Deep Reinforcement Learning for Keras.
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A course in reinforcement learning in the wild
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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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A JavaScript deep learning and reinforcement learning library.
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Repo for the Deep Reinforcement Learning Nanodegree program
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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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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
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
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This discuss thread shows how to run tune with different resource requirements for each trial. This is useful in settings where some models in the search require GPU and others do not.
We can achieve this by taking advantage o