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Mastering Robotic Manipulation with Reinforcement Learning: TQC and DDPG for Fetch Environments
Tutorial

Mastering Robotic Manipulation with Reinforcement Learning: TQC and DDPG for Fetch Environments

Using reinforcement learning (RL), specifically Truncated Quantile Critics (TQC) and Deep Deterministic Policy Gradient (DDPG), to solve the Fetch environments in Gymnasium Robotics

Michael Kudlaty
Michael Kudlaty
January 1, 2025
Beginner's Guide to Model-Based Reinforcement Learning (MBRL) with Atari's Breakout
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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
December 1, 2024
Comparing how PPO, SAC, and DQN Perform on Gymnasium's Lunar Lander
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Comparing how PPO, SAC, and DQN Perform on Gymnasium's Lunar Lander

Explore how different On-Policy and Off-Policy reinforcement learning algorithms perform on Gymnasium's Lunar Lander

Michael Kudlaty
Michael Kudlaty
August 1, 2024
Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)
Tutorial

Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)

Learn how the Reinforcement Learning Algorithm Deep Q Learning (DQN) works and apply it to solve Gymnasium's Lunar Lander

Michael Kudlaty
Michael Kudlaty
July 1, 2024
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Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)

Solving Gymnasium's Lunar Lander with Deep Q Learning (DQN)

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