Search Results for author:
Found 4 papers, 0 papers with code
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions.
Learning a manifold from a teacher’s demonstrations
We consider the problem of learning a manifold from a teacher's demonstration.
Learning a manifold from a teacher's demonstrations
We consider the problem of learning a manifold from a teacher's demonstration.
Optimal Cooperative Inference
Cooperative transmission of data fosters rapid accumulation of knowledge by efficiently combining experiences across learners.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
