Model-based reinforcement learning in TensorFlow

A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.

Study Model-Based Policy Optimization by varying the model estimator classes (e.g Decision Trees vs MLP)

Minimal model-based RL algorithm implementations

A reinforcement learning project exploring different RL algorithms. Namely: QLearning, DQN, PPO, TreeQN, SAVE,

UrbanWorldModel, UrbanSim WM is a DreamerV3-style world model for simulating city-scale air quality, energy, and mobility under policy interventions. It provides a Dockerized FastAPI + Next.js app with WAQI ETL integration, real-time PM2.5 inference, interactive charts, and a training pipeline in PyTorch.