# Python
9 posts
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
The Application of Hidden Markov Model to Detect BTC Market Regime
4 min read Quant Research
A research-oriented overview of how a Gaussian Mixture Hidden Markov Model can be used for BTC regime learning, with focus on theory, structure, and practical limitations.
Quant TradingHidden Markov ModelsMachine LearningBinancePython
Optimal Blackjack Strategy Through Dynamic Programming
12 min read Automation
An analysis of optimal Blackjack strategies using recursive decomposition and dealer probability analysis.
Dynamic ProgrammingAlgorithmsBlackjackPython
Learning Optimal Pricing with Reinforcement Learning
6 min read Quant Research
A technical implementation of the Actor-Critic algorithm to solve dynamic pricing. This project benchmarks RL against theoretical optima to test its effectiveness in combinatorial optimization.
Reinforcement LearningMachine LearningActor-CriticDynamic PricingCombinatorial Optimization
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