Practical Reinforcement Learning
@practicalrl
20 subscribers
1 photo
2 videos
11 files
17 links
Download Telegram
About
Blog
Apps
Platform
Join
Practical Reinforcement Learning
20 subscribers
Practical Reinforcement Learning
Forwarded from omid Gh
Copy of experience_replay.ipynb
32.7 KB
Copy of sarsa.ipynb
43.7 KB
Copy of qlearning (1).ipynb
161.9 KB
Copy of Copy of crossentropy_method.ipynb
53.8 KB
136 views
Practical Reinforcement Learning
Forwarded from Agho Iman
https://colab.research.google.com/drive/1tblpjAF48rxEn2kG9JEtLTukCp_3NUE6?usp=sharing
Google
Copy of qlearning.ipynb
Colaboratory notebook
119 views
Practical Reinforcement Learning
Forwarded from Agho Iman
https://colab.research.google.com/drive/1BHmLuGBkts7x0KaHyiaKjSBFI0XJCmyz?usp=sharing
Google
Copy of sarsa.ipynb
Colaboratory notebook
135 views
Practical Reinforcement Learning
Forwarded from Agho Iman
https://colab.research.google.com/drive/1jcIMALPKaT9MCZVj5ELB6EwOQwNMyuWn?usp=sharing
Google
Copy of recap_ml.ipynb
Colaboratory notebook
138 views
Practical Reinforcement Learning
td_or_not_td_analyzing_the_role_of_temporal_differencing_in_deep.pdf
967.9 KB
147 views
Practical Reinforcement Learning
https://www.tensorflow.org/agents
TensorFlow
TensorFlow Agents
A library for reinforcement learning in TensorFlow. TF-Agents makes designing, implementing and testing new RL algorithms easier.
121 views
Practical Reinforcement Learning
https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
GitHub
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 views
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 views
Practical Reinforcement Learning
1701.07274v1.pdf
410.9 KB
DEEP REINFORCEMENT LEARNING: AN OVERVIEW
162 views
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
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 views
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
Forbes
Reinforcement Learning: The Next Big Thing For AI (Artificial Intelligence)?
It is already showing lots of promise
125 views
Practical Reinforcement Learning
Forwarded from Deep Learning Assets
camrongodbout.medium.com/the-bright-future-of-reinforcement-learning-a66173694f88
Medium
The Bright Future of Reinforcement Learning
One of the most promising applications of deep learning is creating agents capable of making smart decisions.
128 views
Practical Reinforcement Learning
Forwarded from Deep Learning Assets
techcrunch.com/2020/05/05/the-future-of-deep-reinforcement-learning-our-contemporary-ai-superhero/
TechCrunch
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 views
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 views
Practical Reinforcement Learning
https://twitter.com/jsngr/status/1287026808429383680
176 views
Practical Reinforcement Learning
Forwarded from DLeX: AI Python (Meysam Asgari)
@ai_python
197 views
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 views