WalkSelf · AI, Tech & Engineering · Robotics & Automation

Reinforcement Learning for Robotics

Apply advanced machine learning techniques to teach robots complex behaviors through trial and error. Implement reinforcement learning algorithms for tasks like locomotion, manipulation, and navigation.

Reinforcement Learning for Robotics

Python AI Agents: Build From Scratch Without Frameworks

Building AI Agents in Python from Scratch

AI Development with Python: Generative AI and Reinforcement Learning

Practical Reinforcement Learning in Python: Build Intelligent AI Agents

Deep Reinforcement Learning with Python: Train Virtual Agents with TD3

Augmented Random Search: Building High-Performance AI

Deep Reinforcement Learning: Implementing Research Papers in PyTorch and TensorFlow

Reinforcement Learning in Python: Build AI Agents with PyTorch and Gym

Reinforcement Learning with Python for Beginners

Robotics Simulation Fundamentals with Webots

Machine Teaching for Autonomous AI Systems

Deep Learning to AI Agents: Building Generative AI with MCP

Physical AI Foundations: Python and AI for the Real World

Building Autonomous AI Agents

Optimizing Python for Agentic AI

Practical Reinforcement Learning with TensorFlow and Keras

Maze Pathfinding with the Bellman-Ford Algorithm and Python

Java Programming: Algorithmic Robot Navigation with Randomness

Time Travel Testing and Checkpointing in Neural Networks

Building Autonomous Reward Learning Agents with ADK

Autonomous Reward Design with Eureka and Reinforcement Learning

Optimizing Aldous-Broder Maze Generation

Prim's Algorithm for Maze Creation

Building Reward Learning Agents