Timofei Gritsaev

Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization

Generative Flow Networks (GFlowNets) are a family of generative models that learn to sample objects with probabilities proportional to a given reward function. The key concept behind GFlowNets is the use of two stochastic policies: a forward policy, which incrementally constructs compositional objec…