# Deep Learning
2 posts
Deep Reinforcement Learning for Hedging
10 min read Quant Research
An overview of deep hedging, focusing on how hedging can be framed as a risk-aware sequential decision problem under transaction costs, liquidity constraints, and convex risk measures.
Quant TradingHedgingRisk ManagementReinforcement LearningDeep Learning
Teaching a Machine to Stock ATMs: Deep Reinforcement Learning for Cash Demand Forecasting
12 min read Quant Research
A PhD course project applying the Deep Deterministic Policy Gradient (DDPG) algorithm to ATM cash demand forecasting. The problem is framed as a continuous Markov Decision Process, evaluated against industry benchmarks on the 111-ATM NN5 dataset.
Reinforcement LearningDeep LearningTime Series ForecastingDDPGActor-Critic