Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and ...

Before artificial intelligence was digital, it was mechanical. Before neural networks learned through backpropagation, tiny motors and relays learned through trial ...

Embrace AI tools like ChatGPT to enhance problem-solving skills, says IIT Professor Ravindran. AI tools can transform education by helping students tackle complex challenges more effectively. Contrary ...

This project is all about exploring Reinforcement Learning (RL) basic algorithms. We use mazes of different sizes as our playground to see how different RL techniques can find their way out. We make ...

ChatGPT Agent came storming. We planned something different for today, but it's too big to just wave it off. So, here's a plain‑language guide to what it is, how it works, and how you can kick the ...

Reinforcement learning is emerging as a powerful tool for microrobots control, as it enables autonomous navigation in environments where classical control approaches fall short. However, applying ...

The Summer School in "REINFORCEMENT LEARNING AND LARGE LANGUAGE MODELS FOR ROBOTICS" is designed to equip PhD students, and young researchers with cutting-edge knowledge and practical skills combining ...

Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly required to study theoretical models of the brain’s role in spatial navigation. This process can be time ...

Humans and animals develop learning-to-learn strategies throughout their lives to accelerate learning. One theory suggests that this is achieved by a metacognitive process of controlling and ...

The basal ganglia (BG) contribute to reinforcement learning (RL) and decision-making, but unlike artificial RL agents, it relies on complex circuitry and dynamic dopamine modulation of opponent ...