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A hybrid model predictive control scheme for multi-agent containment and distributed sensing

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A hybrid model predictive control scheme for multi-agent containment and distributed sensing

Graph Chatbot

Chattez avec Graph Search

Distributed Learning over Networks under Subspace Constraints

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Representing groups against all odds

Payoff-Based Approach to Learning Nash Equilibria in Convex Games * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE.

Dictionary learning over large distributed models via dual-ADMM strategies

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Evolution of division of labor in artificial societies

Evolution of division of labor in artificial societies

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Dictionary learning over large distributed models via dual-ADMM strategies

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Distributed Learning over Networks under Subspace Constraints

Representing groups against all odds

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

A coordinator-driven communication reduction scheme for distributed optimization using the projected gradient method

Payoff-Based Approach to Learning Nash Equilibria in Convex Games * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE.