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Filtering by: Creator Ashcroft, Michael B. Advisor Tadepalli, Prasad Degree Field Computer Science

Learning classification rules by randomized iterative local search

New Directions in Search-based Structured Prediction: Multi-Task Learning and Integrat...

Towards Direct Simultaneous Speech Translation

Bayesian methods for knowledge transfer and policy search in reinforcement learning

Structured gradient boosting

Causal Structure Learning from Experiments and Observations

Integrating learning and search for structured prediction

High-Dimensional Reinforcement Learning with Human Feedback

Domain-Independent Planning for Markov Decision Processes with Factored State and Acti...

Active learning with committees : an approach to efficient learning in text categoriza...

Multi-criteria average reward reinforcement learning

Active Learning from Examples, Queries and Explanations

Monte-Carlo planning for probabilistic domains

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

Effective decision-theoretic assistance through relational hierarchical models

Hierarchical structure discovery and transfer in sequential decision problems