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Found 3 papers, 2 papers with code
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time
Inspired by findings that LLMs know how to produce right answer but struggle to select the correct reasoning path, we propose a purely inference-based searching method called MindStar (M*), which treats reasoning tasks as search problems.
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Individual treatment effect (ITE) estimation requires adjusting for the covariate shift between populations with different treatments, and deep representation learning has shown great promise in learning a balanced representation of covariates.
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Instantiating the generic algorithm results in an actor that involves maximizing a sequence of surrogate functions (similar to TRPO, PPO) and a critic that involves minimizing a closely connected objective.
