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Dr. Sean Meyn
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C3: Cognition and Control Community
Prior c^3 workshops
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C3: Cognition and Control Community
Prior c^3 workshops
6th Workshop on Cognition & Control
Robustness of Accelerated First-Order Optimization Algorithms
Information Processing Methods to Decipher Electrical Oscillations Along the Gut-Brain Axis
Cognitive States as a Source of Subject-Dependent Movement Variability and their Representation by Large-Scale Brain Networks
Independent Learning in Stochastic Games – Dr. Sean Meyn
Robust Reinforcement Learning Under Model Uncertainty – Dr. Sean Meyn
Revisiting What We Knew About the Usefulness of Code Construction
DNA Forensics – A Numerate Scientist’s Introduction
Reinforcement Learning for Generative Artificial Intelligence
Next-Generation Brain-Machine Interface Systems for Decoding and Control of Neural Dynamics
A Two-Way Communication Channel between the Scalp and the Brain
Ensemble Kalman Filter for Reinforcement Learning
Learning Interacting Dynamic Systems with Prediction using Neural Ordinary Differential Equations
7th Workshop on Cognition & Control
Mean-field Game Methods in Estimation and Control, with Applications to Synchronization of Coupled Oscillators
Instructions for Posters – 7th Workshop on Cognition & Control
Mind in Vitro — Computing with Living Neurons
It’s All GRAND – Part 2
It’s All GRAND – Part 1
Exploration at Scale
Identifying the Roles of Cortical Oscillations in Inference and Learning During Cognitive Behavior – Dr. Sean Meyn
Robust Incentive Design for Non-Myopic Followers
Quickest Change Detection with Controlled Sensing
Variational Optimal Transport Methods for Nonlinear Filtering – Dr. Sean Meyn
9th Workshop on Cognition & Control
Efficiently searching for good agent state based policies in Dec-POMDPs
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
The linear reliability channel: a discrete framework for soft decision error correction decoding
Online Optimization-based Control via Two-Time-Scale Dynamics
Revealed Preference and Adaptive Inverse Reinforcement Learning
What can we learn from signals and systems in a transformer?
Pulse Based Computation: Fundamentals and Opportunities
Building the Fastest Decentralized Internet Protocol for Web3
8th Workshop on Cognition & Control
Trustworthy AI for Resilient and Adaptive Aerospace Autonomy
A New Paradigm for Web3
What can you do with a soft – input soft – output decoder?
On the Statistical Complexity and Instance-adaptiveness of Offline Reinforcement Learning
Representation-based Reinforcement Learning and Control for Dynamical Systems – Dr. Sean Meyn
Multi-agent Reinforcement Learning for Wind Farm Control
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