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Found 6 papers, 1 papers with code
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Within CivRealm, we provide interfaces for two typical agent types: tensor-based agents that focus on learning, and language-based agents that emphasize reasoning.
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
Functional connectivity (FC) as derived from fMRI has emerged as a pivotal tool in elucidating the intricacies of various psychiatric disorders and delineating the neural pathways that underpin cognitive and behavioral dynamics inherent to the human brain.
Efficient Discretizations of Optimal Transport
Obtaining solutions to Optimal Transportation (OT) problems is typically intractable when the marginal spaces are continuous.
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions.
Sequential Cooperative Bayesian Inference
We seek foundational theoretical results for cooperative inference by Bayesian agents through sequential data.
A mathematical theory of cooperative communication
Cooperative communication plays a central role in theories of human cognition, language, development, culture, and human-robot interaction.
