Alfredo García

Orcid: 0000-0002-2761-7479

Affiliations:
  • Texas A&M University, College Station, TX, USA


According to our database1, Alfredo García authored at least 70 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the Local Linear Rate of Consensus on the Stiefel Manifold.
IEEE Trans. Autom. Control., April, 2024

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning.
Trans. Mach. Learn. Res., 2024

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference.
Frontiers Neurorobotics, 2024

Distributed Networked Multi-task Learning.
CoRR, 2024

Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback.
CoRR, 2024

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.
CoRR, 2024

Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold.
CoRR, 2024

2023
Structural Estimation of Partially Observable Markov Decision Processes.
IEEE Trans. Autom. Control., August, 2023

An active inference model of car following: Advantages and applications.
CoRR, 2023

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
CoRR, 2023

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Bayesian Approach to Robust Inverse Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
Modeling Driver Responses to Automation Failures With Active Inference.
IEEE Trans. Intell. Transp. Syst., 2022

On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks.
IEEE Trans. Autom. Control., 2022

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees.
CoRR, 2022

A Market Mechanism for Trading Flexibility Between Interconnected Electricity Markets.
CoRR, 2022

Distributed networked learning with correlated data.
Autom., 2022

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2022

World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior.
Proceedings of the Active Inference - Third International Workshop, 2022

2021
Distributed Networked Real-Time Learning.
IEEE Trans. Control. Netw. Syst., 2021

Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
Proceedings of the 38th International Conference on Machine Learning, 2021

Disease spread coupled with evolutionary social distancing dynamics can lead to growing oscillations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
An Online Mechanism for Resource Allocation in Networks.
IEEE Trans. Control. Netw. Syst., 2020

Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics.
CoRR, 2020

Distributed Projected Subgradient Method for Weakly Convex Optimization.
CoRR, 2020

2019
ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks.
IEEE Trans. Autom. Control., 2019

Distributed Estimation via Network Regularization.
CoRR, 2019

On the Feasibility of 5G Slice Resource Allocation With Spectral Efficiency: A Probabilistic Characterization.
IEEE Access, 2019

2018
Erratum: Swarming for Faster Convergence in Stochastic Optimization.
SIAM J. Control. Optim., 2018

Swarming for Faster Convergence in Stochastic Optimization.
SIAM J. Control. Optim., 2018

A Flocking-Based Approach for Distributed Stochastic Optimization.
Oper. Res., 2018

Dynamic Spectrum Allocation with Carrier Aggregation for Aircraft-to-Ground Communication.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017
Interactive model-based search with reactive resource allocation.
J. Glob. Optim., 2017

2016
Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities.
IEEE Trans. Cybern., 2016

Noise Reduction by Swarming in Social Foraging.
IEEE Trans. Autom. Control., 2016

Efficient Rate Allocation in Wireless Networks Under Incomplete Information.
IEEE Trans. Autom. Control., 2016

2015
Dynamic Incentives for Congestion Control.
IEEE Trans. Autom. Control., 2015

Reputation Dynamics in Networks: Application to Cyber Security of Wind Farms.
Syst. Eng., 2015

Interactive model-based search for global optimization.
J. Glob. Optim., 2015

Auction Design for the Efficient Allocation of Service Capacity Under Congestion.
Oper. Res., 2015

Dynamic Price Competition with Switching Costs.
Dyn. Games Appl., 2015

2014
Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming.
IEEE Trans. Commun., 2014

Interactive Diffusions for Global Optimization.
J. Optim. Theory Appl., 2014

Dynamic Platform Competition with Malicious Users.
Dyn. Games Appl., 2014

Distributed synchronization control of multi-agent systems with unknown nonlinearities: The case of fixed directed communication topology.
Proceedings of the American Control Conference, 2014

2013
Joint Access Point Selection and Power Allocation for Uplink Wireless Networks.
IEEE Trans. Signal Process., 2013

Auction design for spectrum allocation under interference constraints.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network.
IEEE J. Sel. Areas Commun., 2012

"Cap and Trade" for Congestion Control.
Dyn. Games Appl., 2012

An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization
CoRR, 2012

2011
Equilibrium Pricing of Interference in Cognitive Radio Networks.
IEEE Trans. Signal Process., 2011

Averaged Iterative Water-Filling Algorithm: Robustness and Convergence.
IEEE Trans. Signal Process., 2011

Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink
CoRR, 2011

Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation
CoRR, 2011

Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part I: Equilibria and Algorithms for Power Allocation
CoRR, 2011

Joint distributed access point selection and power allocation in cognitive radio networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010
A Bio-Inspired Scheme for Coordinated Online Search.
IEEE Trans. Autom. Control., 2010

Equilibrium Capacity Expansion Under Stochastic Demand Growth.
Oper. Res., 2010

Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework.
Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2010), May 31, 2010

2009
Distributed Channel Selection for Ad-Hoc Networks in the Presence of Jamming Sources.
Proceedings of the Ad Hoc Networks, First International Conference, 2009

2008
A Game-Theoretic Approach to Efficient Power Management in Sensor Networks.
Oper. Res., 2008

Rational swarm routing protocol for mobile ad-hoc wireless networks.
Proceedings of the 5th international conference on Pervasive services, 2008

2007
Dynamic Auctions for On-Demand Services.
IEEE Trans. Syst. Man Cybern. Part A, 2007

Solution and Forecast Horizons for Infinite-Horizon Nonhomogeneous Markov Decision Processes.
Math. Oper. Res., 2007

A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow.
Oper. Res., 2007

Rational swarms for distributed on-line Bayesian search.
Proceedings of the 1st International Conference on Robot Communication and Coordination, 2007

2005
Dynamic Pricing and Learning in Electricity Markets.
Oper. Res., 2005

Distributed on-line Bayesian search.
Proceedings of the 1st International Conference on Collaborative Computing: Networking, 2005

2000
Solving nonstationary infinite horizon stochastic production planning problems.
Oper. Res. Lett., 2000


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