Practical Reinforcement Learning – Telegram

Practical Reinforcement Learning

20 subscribers

1 photo

2 videos

11 files

17 links

Download Telegram

About

Blog

Apps

Platform

Practical Reinforcement Learning

Practical Reinforcement Learning

Forwarded from omid Gh

Copy of experience_replay.ipynb

Copy of sarsa.ipynb

Copy of qlearning (1).ipynb

Copy of Copy of crossentropy_method.ipynb

136 views18:30

Practical Reinforcement Learning

Forwarded from Agho Iman

https://colab.research.google.com/drive/1tblpjAF48rxEn2kG9JEtLTukCp_3NUE6?usp=sharing

Copy of qlearning.ipynb

Colaboratory notebook

119 views18:32

Practical Reinforcement Learning

Forwarded from Agho Iman

https://colab.research.google.com/drive/1BHmLuGBkts7x0KaHyiaKjSBFI0XJCmyz?usp=sharing

Copy of sarsa.ipynb

Colaboratory notebook

135 views18:32

Practical Reinforcement Learning

Forwarded from Agho Iman

https://colab.research.google.com/drive/1jcIMALPKaT9MCZVj5ELB6EwOQwNMyuWn?usp=sharing

Copy of recap_ml.ipynb

Colaboratory notebook

138 views18:32

Practical Reinforcement Learning

td_or_not_td_analyzing_the_role_of_temporal_differencing_in_deep.pdf

147 views16:26

Practical Reinforcement Learning

https://www.tensorflow.org/agents

TensorFlow Agents

A library for reinforcement learning in TensorFlow. TF-Agents makes designing, implementing and testing new RL algorithms easier.

121 views15:18

Practical Reinforcement Learning

https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

GitHub - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms…

PyTorch implementations of deep reinforcement learning algorithms and environments - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

134 views15:18

Practical Reinforcement Learning

اگه خواستین کد پایتونتون رو زیبا بزنید (یا کدای زیبای پایتونو راحت‌تر بخونید) اینجا منبع خوبیه:

https://www.python.org/dev/peps/pep-0008/

Python Enhancement Proposals (PEPs)

PEP 8 – Style Guide for Python Code | peps.python.org

This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python.

158 views22:36

Practical Reinforcement Learning

1701.07274v1.pdf

DEEP REINFORCEMENT LEARNING: AN OVERVIEW

162 views20:26

Practical Reinforcement Learning

Practical Reinforcement Learning

https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

https://github.com/gordicaleksa/pytorch-learn-reinforcement-learning

GitHub - gordicaleksa/pytorch-learn-reinforcement-learning: A collection of various RL algorithms like policy gradients, DQN and…

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 probl...

138 views18:46

Practical Reinforcement Learning

Forwarded from Deep Learning Assets

https://www.forbes.com/sites/tomtaulli/2020/06/05/reinforcement-learning-the-next-big-thing-for-ai-artificial-intelligence

Reinforcement Learning: The Next Big Thing For AI (Artificial Intelligence)?

It is already showing lots of promise

125 views09:31

Practical Reinforcement Learning

Forwarded from Deep Learning Assets

camrongodbout.medium.com/the-bright-future-of-reinforcement-learning-a66173694f88

The Bright Future of Reinforcement Learning

One of the most promising applications of deep learning is creating agents capable of making smart decisions.

128 views09:31

Practical Reinforcement Learning

Forwarded from Deep Learning Assets

techcrunch.com/2020/05/05/the-future-of-deep-reinforcement-learning-our-contemporary-ai-superhero/

The future of deep-reinforcement learning, our contemporary AI superhero | TechCrunch

AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

137 views09:31

Practical Reinforcement Learning

Share some interview questions when I applied a RL engineer of a game company (NetEase Inc. Hangzhou China):

1. The benefits of target network and replay buffer in DQN.

2. Introduce the A3C and the differences with A2C.

3. Discuss the difficulties about learning an agent for LOL or Dota.

4. How to deal with sparse reward?

5. Discuss the adjustment of discount factor.

6. Introduce some enhancement of DQN like Double-DQN.

175 views07:14

Practical Reinforcement Learning

https://twitter.com/jsngr/status/1287026808429383680

176 views09:20

Practical Reinforcement Learning

Forwarded from DLeX: AI Python (Meysam Asgari)

197 views08:35

Practical Reinforcement Learning

Quantum Computing and Reinforcement Learning Are Joining Forces to Make Faster AI
https://singularityhub.com/2021/03/16/quantum-computing-and-reinforcement-learning-are-joining-forces-to-make-faster-ai/

Singularity Hub

Quantum Computing and Reinforcement Learning Are Joining Forces to Make Faster AI

Although only challenged with a “toy problem” in the study, once scaled the AI could impact real-world problems like building an efficient quantum internet.

273 views09:00

Practical Reinforcement Learning

AWS ML Developer.pdf

مسیر ماشین لرنینگ
پیشنهادی AWS

330 views05:05

Practical Reinforcement Learning

Practical Reinforcement Learning pinned a file

23:39