DGFN: Double Generative Flow Networks

no code implementations • 30 Oct 2023 • Elaine Lau, Nikhil Vemgal, Doina Precup, Emmanuel Bengio

Deep learning is emerging as an effective tool in drug discovery, with potential applications in both predictive and generative models.

Drug Discovery Q-Learning +1

An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets

no code implementations • 15 Jul 2023 • Nikhil Vemgal, Elaine Lau, Doina Precup

GFlowNets are a special class of algorithms designed to generate diverse candidates, $x$, from a discrete set, by learning a policy that approximates the proportional sampling of $R(x)$.

Drug Discovery Reinforcement Learning (RL)