Solving nonstationary infinite horizon stochastic production planning problems. - Alfredo García 001; Robert L. Smith 002 (Oper. Res. Lett., 2000)

Distributed on-line Bayesian search. - Alfredo García 001; Enrique Campos; Chenyang Li (CollaborateCom, 2005)

Dynamic Pricing and Learning in Electricity Markets. - Alfredo García 001; Enrique Campos-Náñez; James Reitzes (Oper. Res., 2005)

Rational swarms for distributed on-line Bayesian search. - Alfredo García 001; Chenyang Li; Fernan Pedraza (ROBOCOMM, 2007)

A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow. - Alfredo García 001; Stephen D. Patek; Kaushik Sinha (Oper. Res., 2007)

Solution and Forecast Horizons for Infinite-Horizon Nonhomogeneous Markov Decision Processes. - Torpong Cheevaprawatdomrong; Irwin E. Schochetman; Robert L. Smith 002; Alfredo García 001 (Math. Oper. Res., 2007)

Dynamic Auctions for On-Demand Services. - Enrique Campos-Náñez; Natalia Fabra; Alfredo García 001 (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Rational swarm routing protocol for mobile ad-hoc wireless networks. - Alfredo García 001; Fernan A. Pedraza (ICPS, 2008)

A Game-Theoretic Approach to Efficient Power Management in Sensor Networks. - Enrique Campos-Náñez; Alfredo García 001; Chenyang Li (Oper. Res., 2008)

Distributed Channel Selection for Ad-Hoc Networks in the Presence of Jamming Sources. - Jorge Barrera; Alfredo García 001 (ADHOCNETS, 2009)

Competitive sharing of the spectrum in cognitive radio network: A market equilibrium framework. - Mingyi Hong 001; Alfredo García 001 (WiOpt, 2010)

Equilibrium Capacity Expansion Under Stochastic Demand Growth. - Alfredo García 001; Zhijiang Shen (Oper. Res., 2010)

A Bio-Inspired Scheme for Coordinated Online Search. - Alfredo García 001; Chenyang Li; Fernan Pedraza (IEEE Trans. Autom. Control., 2010)

Joint distributed access point selection and power allocation in cognitive radio networks. - Mingyi Hong 001; Alfredo García 001; Jorge Barrera (INFOCOM, 2011)

Distributed Uplink Resource Allocation in Cognitive Radio Networks – Part I: Equilibria and Algorithms for Power Allocation - Mingyi Hong 001; Alfredo García 001; Stephen G. Wilson (CoRR, 2011)

Distributed Uplink Resource Allocation in Cognitive Radio Networks – Part II: Equilibria and Algorithms for Joint Access Point Selection and Power Allocation - Mingyi Hong 001; Alfredo García 001; Jorge Barrera (CoRR, 2011)

Lower Bounds Optimization for Coordinated Linear Transmission Beamformer Design in Multicell Network Downlink - Mingyi Hong 001; Alfredo García 001; José Joaquín Escudero Garzás; Ana García Armada (CoRR, 2011)

Averaged Iterative Water-Filling Algorithm: Robustness and Convergence. - Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Signal Process., 2011)

Equilibrium Pricing of Interference in Cognitive Radio Networks. - Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Signal Process., 2011)

An Adaptive Online Ad Auction Scoring Algorithm for Revenue Maximization - Chenyang Li; Mingyi Hong 001; Randy Cogill; Alfredo García 001 (CoRR, 2012)

"Cap and Trade" for Congestion Control. - Alfredo García 001; Mingyi Hong 001; Jorge Barrera (Dyn. Games Appl., 2012)

Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network. - Mingyi Hong 001; Alfredo García 001 (IEEE J. Sel. Areas Commun., 2012)

Auction design for spectrum allocation under interference constraints. - Jorge Barrera; Alfredo García 001; Mingyi Hong 001 (GLOBECOM, 2013)

Joint Access Point Selection and Power Allocation for Uplink Wireless Networks. - Mingyi Hong 001; Alfredo García 001; Jorge Barrera; Stephen G. Wilson (IEEE Trans. Signal Process., 2013)

Distributed synchronization control of multi-agent systems with unknown nonlinearities: The case of fixed directed communication topology. - Shize Su; Zongli Lin; Alfredo García 001 (ACC, 2014)

Dynamic Platform Competition with Malicious Users. - Alfredo García 001; Yue Sun; Joseph Shen (Dyn. Games Appl., 2014)

Interactive Diffusions for Global Optimization. - Yue Sun; Alfredo García 001 (J. Optim. Theory Appl., 2014)

Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming. - José Joaquín Escudero Garzás; Mingyi Hong 001; Alfredo García 001; Ana García Armada (IEEE Trans. Commun., 2014)

Dynamic Price Competition with Switching Costs. - Natalia Fabra; Alfredo García 001 (Dyn. Games Appl., 2015)

Auction Design for the Efficient Allocation of Service Capacity Under Congestion. - Jorge Barrera; Alfredo García 001 (Oper. Res., 2015)

Interactive model-based search for global optimization. - Yuting Wang; Alfredo García 001 (J. Glob. Optim., 2015)

Reputation Dynamics in Networks: Application to Cyber Security of Wind Farms. - Nathan Trantham; Alfredo García 001 (Syst. Eng., 2015)

Dynamic Incentives for Congestion Control. - Jorge Barrera; Alfredo García 001 (IEEE Trans. Autom. Control., 2015)

Efficient Rate Allocation in Wireless Networks Under Incomplete Information. - Alfredo García 001; Mingyi Hong 001 (IEEE Trans. Autom. Control., 2016)

Noise Reduction by Swarming in Social Foraging. - Shi Pu 004; Alfredo García 001; Zongli Lin (IEEE Trans. Autom. Control., 2016)

Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities. - Shize Su; Zongli Lin; Alfredo García 001 (IEEE Trans. Cybern., 2016)

Interactive model-based search with reactive resource allocation. - Yue Sun; Alfredo García 001 (J. Glob. Optim., 2017)

Dynamic Spectrum Allocation with Carrier Aggregation for Aircraft-to-Ground Communication. - José Joaquín Escudero Garzás; Alfredo García 001; Stephen G. Wilson (VTC Fall, 2018)

Swarming for Faster Convergence in Stochastic Optimization. - Shi Pu; Alfredo García 001 (CoRR, 2018)

A Flocking-Based Approach for Distributed Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (Oper. Res., 2018)

Swarming for Faster Convergence in Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (SIAM J. Control. Optim., 2018)

Erratum: Swarming for Faster Convergence in Stochastic Optimization. - Shi Pu 004; Alfredo García 001 (SIAM J. Control. Optim., 2018)

On the Feasibility of 5G Slice Resource Allocation With Spectral Efficiency: A Probabilistic Characterization. - José Joaquín Escudero Garzás; Carlos Bousoño-Calzón; Alfredo García 001 (IEEE Access, 2019)

Distributed Estimation via Network Regularization. - Lingzhou Hong; Alfredo García 001; Ceyhun Eksin (CoRR, 2019)

ZONE: Zeroth-Order Nonconvex Multiagent Optimization Over Networks. - Davood Hajinezhad; Mingyi Hong 001; Alfredo García 001 (IEEE Trans. Autom. Control., 2019)

Distributed Projected Subgradient Method for Weakly Convex Optimization. - Shixiang Chen; Alfredo García 001; Shahin Shahrampour (CoRR, 2020)

Dynamic Discrete Choice Estimation with Partially Observable States and Hidden Dynamics. - Yanling Chang; Alfredo García 001; Zhide Wang (CoRR, 2020)

An Online Mechanism for Resource Allocation in Networks. - Shi Pu 004; José Joaquín Escudero Garzás; Alfredo García 001; Shahin Shahrampour (IEEE Trans. Control. Netw. Syst., 2020)

Disease spread coupled with evolutionary social distancing dynamics can lead to growing oscillations. - Hossein Khazaei; Keith Paarporn; Alfredo García 001; Ceyhun Eksin (CDC, 2021)

Decentralized Riemannian Gradient Descent on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (ICML, 2021)

Distributed Networked Real-Time Learning. - Alfredo García 001; Luochao Wang; Jeff Huang 001; Lingzhou Hong (IEEE Trans. Control. Netw. Syst., 2021)

World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Isaac Supeene; Matthew O'Kelly (IWAI, 2022)

Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. - Siliang Zeng; Tianyi Chen; Alfredo García 001; Mingyi Hong 001 (L4DC, 2022)

Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2022)

Distributed networked learning with correlated data. - Lingzhou Hong; Alfredo García 001; Ceyhun Eksin (Autom., 2022)

A Market Mechanism for Trading Flexibility Between Interconnected Electricity Markets. - Hossein Khazaei; Ceyhun Eksin; Roohallah Khatami; Alfredo García 001 (CoRR, 2022)

On Distributed Nonconvex Optimization: Projected Subgradient Method for Weakly Convex Problems in Networks. - Shixiang Chen; Alfredo García 001; Shahin Shahrampour (IEEE Trans. Autom. Control., 2022)

Modeling Driver Responses to Automation Failures With Active Inference. - Ran Wei; Anthony D. McDonald; Alfredo García 001; Hananeh Alambeigi (IEEE Trans. Intell. Transp. Syst., 2022)

A Bayesian Approach to Robust Inverse Reinforcement Learning. - Ran Wei; Siliang Zeng; Chenliang Li; Alfredo García 001; Anthony D. McDonald; Mingyi Hong 001 (CoRL, 2023)

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2023)

Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning. - Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (CoRR, 2023)

An active inference model of car following: Advantages and applications. - Ran Wei; Anthony D. McDonald; Alfredo García 001; Gustav Markkula; Johan Engström; Matthew O'Kelly (CoRR, 2023)

Structural Estimation of Partially Observable Markov Decision Processes. - Yanling Chang; Alfredo García 001; Zhide Wang; Lu Sun (IEEE Trans. Autom. Control., 2023)

Federated Multi-task Learning in Distributed Networks. - Lingzhou Hong; Alfredo García 001 (IEEE Big Data, 2024)

Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment. - Jiaxiang Li; Siliang Zeng; Hoi-To Wai; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (NeurIPS, 2024)

Global Convergence of Decentralized Retraction-Free Optimization on the Stiefel Manifold. - Youbang Sun; Shixiang Chen; Alfredo García 001; Shahin Shahrampour (CoRR, 2024)

Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback. - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García 001; Mingyi Hong 001 (CoRR, 2024)

Distributed Networked Multi-task Learning. - Lingzhou Hong; Alfredo García 001 (CoRR, 2024)

Local Linear Convergence of Infeasible Optimization With Orthogonal Constraints. - Youbang Sun; Shixiang Chen; Alfredo García 001; Shahin Shahrampour (IEEE Control. Syst. Lett., 2024)

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference. - Johan Engström; Ran Wei; Anthony D. McDonald; Alfredo García 001; Matthew O'Kelly; Leif Johnson (Frontiers Neurorobotics, 2024)

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. - Ran Wei; Nathan Lambert 001; Anthony D. McDonald; Alfredo García 001; Roberto Calandra (Trans. Mach. Learn. Res., 2024)

On the Local Linear Rate of Consensus on the Stiefel Manifold. - Shixiang Chen; Alfredo García 001; Mingyi Hong 001; Shahin Shahrampour (IEEE Trans. Autom. Control., 2024)

Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality. - Ruijia Zhang; Siliang Zeng; Chenliang Li; Alfredo García 001; Mingyi Hong 001 (AISTATS, 2025)

Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment. - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García 001; Mingyi Hong 001 (ICLR, 2025)

Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue. - Ran Wei; Anthony D. McDonald; Ranjana K. Mehta; Alfredo García 001 (Hum. Factors, 2025)

Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees. - Siliang Zeng; Mingyi Hong 001; Alfredo García 001 (Oper. Res., 2025)

A trust-region approach for computing Pareto fronts in multiobjective derivative-free optimization. - Aboozar Mohammadi; Davood Hajinezhad; Alfredo García 001 (Optim. Lett., 2025)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. - Xinnan Zhang; Chenliang Li; Siliang Zeng; Jiaxiang Li; Zhongruo Wang; Kaixiang Lin; Songtao Lu; Alfredo García 001; Mingyi Hong 001 (CoRR, 2025)

Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Matthew O'Kelly (IEEE Trans. Intell. Transp. Syst., 2025)