Author

Wen-Ting Wang

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Preprint Jul 2026

Reinforcement Learning for Execution under Dynamic Fees in a Closed-Loop DEX Simulator

Trader-facing dynamic fees are increasingly proposed for automated market makers (AMMs), but historical data do not identify how order flow would respond: trader-facing fees do not vary, trader types are latent, and a replayed tape is not a sequential decision environment. We therefore construct a minimal closed-loop s...

Wen-Ting Wang · 0 citations

Preprint Jul 2026

Causal Effects of Protocol-Fee Changes on Liquidity Provision in Automated Market Makers

Automated market maker (AMM) fee rules are often evaluated by liquidity-provider (LP) welfare, but that objective mixes fee revenue, adverse-selection loss (loss-versus-rebalancing, LVR), routing response, and liquidity supply. Fixed-fee Uniswap v3 history cannot separate these channels or identify counterfactual trade...

Wen-Ting Wang · 0 citations