ML-QuantSubscribe

SSRNML & AI Methods

Reinforcement Learning in Market-Making

The paper presents a deep reinforcement learning framework for optimal market-making trading, using the Soft Actor-Critic algorithm to manage complex, high-dimensional problems with continuous state and action spaces.

Featured in No. 71 on 23 Oct 2024 · 6 days after release

Released
17 Oct 2024
First featured
No. 71 · 23 Oct 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4991392

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page