RL Execution Optimization Reinforcement learning (RL) for trade execution teaches an agent to split and time large orders so that total market impact is minimized. Instead of following a fixed schedule (TWAP, VWAP), an RL agent observes real-time market state and adapts its trading rate on the fly. Why Execution Optimization Matters Every trade has a cost beyond the quoted spread: | Cost Component | Cause | Typical Magnitude | |---|---|---| | Spread cost | Crossing the bid-ask | 5-50 bps on DEXs | | Temporary impact | Consuming liquidity | Scales with trade rate | | Permanent impact | Informa…