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Found 3 papers, 1 papers with code
A Simple Guard for Learned Optimizers
Even if learned optimizers (L2Os) eventually outpace hand-crafted ones in practice however, they are still not provably convergent and might fail out of distribution.
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
In this work, we propose a general and hybrid approach, based on DRL and CP, for solving combinatorial optimization problems.
Recurrent Ladder Networks
We propose a recurrent extension of the Ladder networks whose structure is motivated by the inference required in hierarchical latent variable models.
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