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Beginner's Guide to Model-Based Reinforcement Learning (MBRL) with Atari's Breakout
Tutorials

Beginner's Guide to Model-Based Reinforcement Learning (MBRL) with Atari's Breakout

Learn Model-Based Reinforcement Learning: Build sample-efficient RL agents by modeling environment dynamics and planning with Python in tasks like Atari's Breakout

Michael Kudlaty
Michael Kudlaty
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December 1, 2024
Resolver el módulo de aterrizaje lunar de Gymnasium con Deep Q Learning (DQN)
Tutorials

Resolver el módulo de aterrizaje lunar de Gymnasium con Deep Q Learning (DQN)

Aprenda cómo funciona el algoritmo de aprendizaje por refuerzo Deep Q Learning (DQN) y aplíquelo para resolver el módulo de aterrizaje lunar de Gymnasium

Michael Kudlaty
Michael Kudlaty
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July 1, 2024
Comparación del rendimiento de PPO, SAC y DQN en el Lunar Lander de Gymnasium
Tutorials

Comparación del rendimiento de PPO, SAC y DQN en el Lunar Lander de Gymnasium

Explore cómo funcionan los diferentes algoritmos de aprendizaje por refuerzo dentro y fuera de la política en el Lunar Lander de Gymnasium

Michael Kudlaty
Michael Kudlaty
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August 1, 2024
Serving Up Some Robotics: Setting Up a Tennis Environment in MuJoCo
Tutorials

Serving Up Some Robotics: Setting Up a Tennis Environment in MuJoCo

Build a MuJoCo robot tennis simulation! Learn to set up a wall tennis environment, tackle physics/control challenges, understand its architecture, and improve it for robotics or reinforcement learning projects with MuJoCo

Michael Kudlaty
Michael Kudlaty
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May 1, 2025

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