Optimization
The Role of Baselines in Policy Gradient Optimization
Additional experimental results verify these theoretical findings.
Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian
W e propose an efficient and robust iterative solution to the multi-object matching problem.
Policy Optimization with Linear Temporal Logic Constraints Cameron V oloshin Caltech Hoang M. Le Argo AI Swarat Chaudhuri UT Austin Yisong Yue Argo AI Caltech
However, capturing real-world task specifications using scalar costs can be challenging. For one, real-world tasks often consist of objectives that are required, as well as those that are merely desirable.
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering Ines Chami Albert Gu Vaggos Chatziafratis Christopher Ré
In this work, we provide the first continuous relaxation of Dasgupta's discrete optimization problem with provable quality guarantees.