You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding dynamic obstacles.
This project proposes a simulation-based reinforcement learning framework for safe medicine dosage optimization. A virtual patient environment is mathematically modeled to simulate infection progression, toxicity accumulation, and immunity dynamics.
This is a machine learning project developed at woodhack 2018 - demonstrating that machine learning can be done from scratch, even without a framework.