Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

This project provides a hands-on tutorial for understanding and implementing the Proximal Policy Optimization (PPO) algorithm to fine-tune Large Language Models (LLMs) using Reinforcement Learning (RL ...

Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...

In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...