Duration: 1 hour Participants: 10 people The lecture delves into the realm of policy approximation in Reinforcement Learning (RL), specifically focusing on the utilization of neural networks. It explores the concept of policy networks, which learn to map states to […]
Duration: 2 hours Participants: 20 people A seminar targeted towards Agricultural researchers and students, where we disseminate the methods of Reinforcement learning as a tool for smart and adaptive decision making for farm management. Presentation: Download Code: Download (.zip)
Lecturer: Duration: 2 hours Participants: 3 people An Introduction to Reinforcement Learning (RL) and an in-depth dive into the workings of CropGym. Lengthy discussions between (agriculture and artificial intelligence) domain experts was done to find a middle ground in ways […]
