306 citations · 1.3k across the 118 of their papers we have counts for
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Bellman Policy Optimization
Zhuoqing Song, Haotian Xu, Xikun Zhang +1
Reinforcement learning with verifiable rewards (RLVR) improves the reasoning capabilities of large language models (LLMs). We introduce Bellman Policy Optimization (BPO), a critic-…
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun, William W. Cohen, Lidong Bing
We propose a technique for declaratively specifying strategies for semi-supervised learning (SSL). The proposed method can be used to specify ensembles of semi-supervised learning,…
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
Lidong Bing, William W. Cohen, Bhuwan Dhingra
We propose a general approach to modeling semi-supervised learning (SSL) algorithms. Specifically, we present a declarative language for modeling both traditional supervised classi…