1. What you need to think about, in order to use reinforcement learning in real life. Basic concepts of RL and what makes it suitable for sequential decision making. Brief introduction of the application of RL on real-life problems and not gaming environments.
2. Walk through over the code of applying RL over simple use case, such as solving the online 3D bin packing problem (solving for where each upcoming parcel should be placed, for maximum packing efficiency). The major focus would be on designing architecture, training paradigm and structuring experiments.
3. Analysis of results and discussions.
Check out the below video to know more about the session.
