Deep Q Networks What Happens When Q Learning Meets
Remember the FrozenLake problem from Part 4? A 4×4 grid, 16 states, 4 actions. A Q-table with 64 entries. It worked beautifully.
Python and Data Science
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View all posts →Q Learning From Scratch Teaching An Agent To Navig
Here's the setup. You have a 4x4 grid: - **S**: Start position (top-left corner) - **F**: Frozen surface (safe to walk on) - **H**: Hole (fall in and you lose) - **G**: Goal (the treasure, bottom-right corner)
Markov Decision Processes Without The Math Anxiety
np.random.seed(42) env = LineWorld() state = env.reset() print("Starting random agent in LineWorld...") print(f"Goal is at position {env.goal_state}") print()
Multi Armed Bandits The Simplest Reinforcement Lea
Let's start with the name. A "one-armed bandit" is slang for a slot machine — you pull the lever (the arm), and you either win or lose. A "multi-armed bandit" is a row of those machines.
Talking To Apis The Requests Patterns Every Data S
Let's paint a picture. You're a data scientist at a mid-sized e-commerce company. Every morning, you need to pull yesterday's sales numbers from the company's internal dashboard.
What Is Reinforcement Learning Really Agents Envir
Let's name the pieces the toddler story introduced. Every RL problem has exactly three components:
Managing Python Environments Pip Conda And Venv Fi
try: import pandas as pd print(f"pandas version: {pd.__version__}") except ImportError: print("pandas is not installed! Run: pip install pandas")
Sqlite For Data Science A Zero Setup Database For
Think of SQLite not as a replacement for PostgreSQL or MySQL, but as a replacement for `fopen()`. That's the framing from the official SQLite documentation. You don't install a database server — you just open a file.