Learning apprentices and autonomous agents
Explanation-based learning, apprenticeship, robot learning, hierarchical control, and multi-agent decision-making.
Publications
Four decades of papers, organized as a research arc.
This portal does not try to duplicate a living bibliography. It provides authoritative indexes, a durable historical archive, and a conceptual map for reading the work across changing fields and vocabularies.
Complete bibliographic record
DBLP provides the cleanest chronological index of conference, journal, and book publications.
Browse DBLP ↗Citation record and related work
Google Scholar tracks citations, versions, and the broader network of papers connected to this research.
Open Google Scholar ↗Categorical AI papers and books
The digital trilogy connects recent papers on diagrammatic learning, causality, compositionality, and infinitesimal creativity.
Enter the research program ↗Historical UMass paper archive
The original faculty website preserves papers, technical reports, tutorials, and supplementary material accumulated over several decades.
Visit the legacy archive ↗A suggested route
Read by question, not only by year.
Representation and optimization
Proto-value functions, spectral learning, manifold alignment, transfer, and first-order methods for reinforcement learning.
Causality and foundation models
Causal structure from text, categorical causal models, geometric discovery, and trustworthy foundries.
Categorical learning and creativity
Diagrammatic backpropagation, LINCS, infinitesimal causality, DIAL, and theory-extending learning systems.