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Market Making via Reinforcement Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 347 |
| 2026-08-06 | 347 |
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# rl_markets
This repo contains the core code used to simulate limit order books and
evaluate reinforcement-learning-based strategies for the paper "Market making
via reinforcement learning" (https://arxiv.org/abs/1804.04216v1).
Dependencies:
- cmake
To build code, run:
./configure
cd build
make
To cleanup, run:
./configure clean
or:
rm -rf build
Note there may be certain issues with shared_ptr types across machines
(especially between Linux and Mac OS X boxes).
## References
Please use the following bibtex entry if citing this work.
```
@inproceedings{spooner2018market,
author={Spooner, Thomas and Fearnley, John and Savani, Rahul and Koukorinis, Andreas},
title={Market Making via Reinforcement Learning},
booktitle={Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems},
series={AAMAS '18},
year={2018},
location={Stockholm, Sweden},
pages={434--442},
publisher={International Foundation for Autonomous Agents and Multiagent Systems},
keywords={limit order books, market making, td learning, tile coding},
}
```
Excerpt of 1,112 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4d730860125dcd91, llm:Repository description: 'Market Making via Reinforcement Learning' (language C++)
matched fp:4d730860125dcd91, llm:Repository description: 'Market Making via Reinforcement Learning' (language C++)