PickAClass · AI Applications (Interdisciplinary) · AI for Robotics & Autonomous Systems

Reinforcement Learning for Robotics

Apply reinforcement learning (RL) and deep RL algorithms to train robots to perform complex tasks and make optimal decisions in real-time. Learn about policies, rewards, and simulation-to-real transfer.

Reinforcement Learning for Robotics

Deep Reinforcement Learning in Python: A Modern Introduction

Deep Reinforcement Learning for Game Development

Deep Reinforcement Learning with PyTorch: From DQN to SAC

Foundations of Deep Learning and Reinforcement Learning

Deep Reinforcement Learning Fundamentals

Deep Reinforcement Learning: Algorithms and Practical Applications

Deep Reinforcement Learning and Continuous Action Spaces

Deep Reinforcement Learning Foundations with PyTorch

Hands-On Deep Reinforcement Learning with Python

Training Game AI with Generative Adversarial Imitation Learning

Text Generation with SeqGAN and Reinforcement Learning

Foundations of Inverse Reinforcement Learning in Generative AI

Procedural Maze Generation: Designing Sparse Mazes with Custom Density

Automated Reward Design with Eureka and Coding LLMs

Foundations of Video Game AI: Reinforcement Learning and GAIL

Foundations of Deep Learning and Reinforcement Learning

Deep Reinforcement Learning Fundamentals with Python

Fundamentals of Unsupervised, Deep, and Reinforcement Learning

Deep Q-Learning: Fundamentals and Hands-On Implementation

Foundations of Deep Learning: How Modern AI Works

Reinforcement Learning: From Q-Learning to Deep Policy Gradients