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Top 14 Jupyter Notebook deep-reinforcement-learning Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
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SaaSHub
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Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
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jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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Rubiks-Cube-Reinforcement-Learning
Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search
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Project mention: Batendo BOVA11 - Approach usando Reinforcement Learning | /r/farialimabets | 2023-09-11FinRL ---> https://github.com/AI4Finance-Foundation/FinRL
Have you looked at this repo or this repo ?
While trying to learn the latest in Deep Reinforcement Learning, I was able to take advantage of many excellent resources (see credits [1]), but I couldn't find one that provided the right balance between theory and practice for my personal experience. So I decided to create something myself, and open-source it for the community, in case it might be useful to someone else.
None of that would have been possible without all the resources listed in [1], but I rewrote all algorithms in this series of Python notebooks from scratch, with a with a "pedagogical approach" in mind. It is a hands-on step-by-step tutorial about Deep Reinforcement Learning techniques (up ~2018/2019 SOTA) guiding through theory and coding exercises on the most utilized algorithms (QLearning, DQN, SAC, PPO, etc.)
I shamelessly stole the title from a hero of mine, Andrej Karpathy, and his "Neural Network: Zero To Hero" [2] work. I also meant to work on a series of YouTube videos, but didn't have the time yet. If this posts gets any type of interest, I might go back to it. Thank you.
P.S.: A friend of mine suggested me to post here, so I followed their advice: this is my first post, I hope it properly abides with the rules of the community.
[1] https://github.com/alessiodm/drl-zh/blob/main/00_Intro.ipynb
Jupyter Notebook deep-reinforcement-learning related posts
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FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0
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FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)
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FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0
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FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)
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FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)
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FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0
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FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0
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Index
What are some of the best open-source deep-reinforcement-learning projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | FinRL | 9,240 |
2 | introtodeeplearning | 7,016 |
3 | Practical_RL | 5,776 |
4 | Reinforcement-Learning | 4,091 |
5 | FinRL-Trading | 1,911 |
6 | hands-on-rl | 992 |
7 | gdrl | 747 |
8 | Deep-Reinforcement-Learning-Algorithms | 580 |
9 | jaxrl | 576 |
10 | drq | 398 |
11 | recurrent-ppo-truncated-bptt | 107 |
12 | Rubiks-Cube-Reinforcement-Learning | 38 |
13 | rl_lib | 27 |
14 | drl-zh | 1,896 |
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