smq/directoryAn evolving quant resource archive
Paper / 2025SMQ / 160916480684242
RL-Exec: Impact-Aware Reinforcement Learning for Opportunistic Optimal Liquidation, Outperforms TWAP and a Book-Liquidity VWAP on BTC-USD Replays
liquidity / market microstructureResource overview

RL-Exec: Impact-Aware Reinforcement Learning for Opportunistic Optimal Liquidation, Outperforms TWAP and a Book-Liquidity VWAP on BTC-USD Replays

Paper2025

by Enzo Duflot, Stanislas Robineau

Tags
liquiditymarket microstructureoptimal executionreinforcement learningtransaction costs

Continue on SelfMadeQuant

Understand this paper

Suggested foundations for market microstructure and execution and trading research and honest backtests. Specialist prerequisites vary by paper.

Before you read

Go further

Explore a related reading path