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Top 3 Jupyter Notebook multi-agent-reinforcement-learning Projects
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gym-continuousDoubleAuction
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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InfluxDB
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook multi-agent-reinforcement-learning related posts
- gym-continuousDoubleAuction: NEW Deep Learning And Reinforcement Learning - star count:104.0
- gym-continuousDoubleAuction: NEW Deep Learning And Reinforcement Learning - star count:104.0
- gym-continuousDoubleAuction: NEW Deep Learning And Reinforcement Learning - star count:104.0
- gym-continuousDoubleAuction: NEW Deep Learning And Reinforcement Learning - star count:104.0
- [N] Announcing the Applied Machine Learning Days 2021
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
Index
What are some of the best open-source multi-agent-reinforcement-learning projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | gym-continuousDoubleAuction | 136 |
| 2 | droneRL-workshop | 18 |
| 3 | flock_env | 11 |
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