Publications

Journal articles and conference papers, organized by research area.

Papers are grouped by research area; select an area to expand its list. For a complete and current list, see my Google Scholar profile.

Publications by Research Area

  1. S. Zeng, M. Hong, and A. Garcia. “Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees.” Operations Research, 2024.
  2. S. Pu and A. Garcia. “A Flocking-based Approach for Distributed Stochastic Optimization.” Operations Research, 66(1):267–281, 2018.
  3. J. Barrera and A. Garcia. “Auction Design for the Efficient Allocation of Service Capacity Under Congestion.” Operations Research, 63(1):151–165, 2015.
  4. A. Garcia and J. Shen. “Equilibrium Capacity Expansion under Stochastic Demand Growth.” Operations Research, 58(1):30–42, 2010.
  5. E. Campos, A. Garcia, and Ch. Li. “A Game Theoretic Approach to Efficient Power Management in Sensor Networks.” Operations Research, 56(3):552–561, 2008.
  6. A. Garcia, S. Patek, and K. Sinha. “A Decentralized Approach to Simulation-based Optimization.” Operations Research, 55(4):717–732, 2007.
  7. T. Chee, E. Schochetman, R. L. Smith, and A. Garcia. “Solution and Forecast Horizons for Nonhomogeneous Markov Decision Processes.” Mathematics of Operations Research, 32(1):51–72, 2007.
  8. A. Garcia, E. Campos, and J. Reitzes. “Dynamic Pricing and Learning in Electricity Markets.” Operations Research, 53(2):231–241, 2005.

  1. Y. Sun, S. Chen, A. Garcia, and S. Shahrampour. “Retraction-Free Decentralized Non-Convex Optimization With Orthogonal Constraints.” IEEE Transactions on Automatic Control, 2026.
  2. J. Xi, A. Garcia, and P. Momcilovic. “Regularized Q-Learning with Linear Function Approximation.” IEEE Transactions on Automatic Control, 2025.
  3. S. Chen, A. Garcia, M. Hong, and S. Shahrampour. “On the Local Linear Rate of Consensus on the Stiefel Manifold.” IEEE Transactions on Automatic Control, 2023.
  4. Y. Chang, A. Garcia, Z. Wang, and L. Sun. “Structural Estimation of Partially Observable Markov Decision Processes.” IEEE Transactions on Automatic Control, 2022.
  5. L. Hong, A. Garcia, and C. Eksin. “Distributed Networked Learning with Correlated Data.” Automatica, 137:110134, 2022.
  6. S. Chen, A. Garcia, and S. Shahrampour. “On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks.” IEEE Transactions on Automatic Control, 67(2):662–675, 2022.
  7. A. Garcia, L. Wang, J. Huang, and L. Hong. “Distributed Networked Real-time Learning.” IEEE Transactions on Control of Network Systems, 8(1):28–38, 2021.
  8. S. Pu, J. Escudero-Garzas, A. Garcia, and S. Shahrampour. “An Online Mechanism for Resource Allocation in Networks.” IEEE Transactions on Control of Network Systems, 7(3):1140–1150, 2020.
  9. D. Hajinezhad, M. Hong, and A. Garcia. “Zeroth Order Non-convex Multi-Agent Optimization over Networks.” IEEE Transactions on Automatic Control, 64(10):3995–4010, 2019.
  10. S. Pu and A. Garcia. “Swarming for Faster Convergence in Stochastic Optimization.” SIAM Journal on Control and Optimization, 56(4):2997–3020, 2018.
  11. S. Pu, A. Garcia, and Z. Lin. “Noise Reduction by Swarming in Social Foraging.” IEEE Transactions on Automatic Control, 61(12):4007–4013, 2016.
  12. S. Su, Z. Lin, and A. Garcia. “Distributed Synchronization Control of Multi-agent Systems with Unknown Nonlinearities.” IEEE Transactions on Cybernetics, 46:325–338, 2016.
  13. A. Garcia and M. Hong. “Efficient Rate Allocation in Wireless Networks Under Incomplete Information.” IEEE Transactions on Automatic Control, 61(5):1397–1402, 2016.
  14. J. Barrera and A. Garcia. “Dynamic Incentives for Congestion Control.” IEEE Transactions on Automatic Control, 60(2):299–310, 2015.
  15. A. Garcia, F. Pedraza, and Ch. Li. “A Bio-Inspired Scheme for Coordinated Online Search.” IEEE Transactions on Automatic Control, 55(9):2142–2148, 2010.
  16. A. Garcia, N. Fabra, and E. Campos. “Dynamic Auctions for On-Demand Services.” IEEE Transactions on Systems, Man, and Cybernetics, 37(6):878–886, 2007.

  1. Ch. Li, J. Leng, J. Li, Y. Sun, S. Chen, S. Shahrampour, and A. Garcia. “Adaptive Rank Control for Robust Reinforcement Learning.” Transactions on Machine Learning Research, 2026.
  2. Ch. Li, A. Elmahdy, A. Boyd, Z. Wang, S. Zeng, A. Garcia, P. Bhatia, T. Kass-Hout, X. Cao, and M. Hong. “Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization.” Conference on Language Modeling (COLM), 2026.
  3. J. Peng, Y. Liu, R. Zhou, C. Fleming, Z. Wang, A. Garcia, and M. Hong. “HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents.” Proceedings of Neural Information Processing Systems (NeurIPS), 2026.
  4. Ch. Li, S. Zeng, Z. Liao, J. Li, D. Kang, A. Garcia, and M. Hong. “Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment.” International Conference on Learning Representations (ICLR), 2025.
  5. R. Zhang, S. Zeng, Ch. Li, A. Garcia, and M. Hong. “Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality.” International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
  6. J. Li, S. Zeng, H. Wai, Ch. Li, A. Garcia, and M. Hong. “Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment.” Proceedings of Neural Information Processing Systems (NeurIPS), 2024.
  7. S. Zeng, Ch. Li, A. Garcia, and M. Hong. “Understanding Expertise through Demonstrations: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.” Proceedings of Neural Information Processing Systems (NeurIPS), 2023.
  8. R. Wei, S. Zeng, Ch. Li, A. Garcia, A. McDonald, and M. Hong. “A Bayesian Approach to Robust Inverse Reinforcement Learning.” Conference on Robot Learning (CoRL), 2023.
  9. S. Zeng, Ch. Li, A. Garcia, and M. Hong. “Maximum Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees.” Proceedings of Neural Information Processing Systems (NeurIPS), 2022.
  10. R. Wei, A. Garcia, A. McDonald, G. Markkula, J. Engstrom, I. Supeene, and M. O’Kelly. “World Model Learning From Demonstrations With Active Inference: Application to Driving Behavior.” International Workshop on Active Inference (IWAI), 2022.
  11. S. Zeng, T. Chen, A. Garcia, and M. Hong. “Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.” Proceedings of Machine Learning Research, 168:1–45, 2022.
  12. S. Chen, A. Garcia, M. Hong, and S. Shahrampour. “Decentralized Riemannian Gradient Descent on the Stiefel Manifold.” International Conference on Machine Learning (ICML), 2021.

  1. L. Kashyap, Z. Wang, Y. Chang, M. Zahabi, and A. Garcia. “Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement.” Human Factors, 2026.
  2. S. Zeng et al. “Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design.” IEEE Signal Processing Magazine, 2026.
  3. L. Kashyap, Z. Wang, Y. Chang, and A. Garcia. “A Structural Model of Attentional Effort Dynamics: Evidence From a Naturalistic Discrimination Task.” Human Factors, 2025.
  4. R. Wei, A. Garcia, A. McDonald, G. Markkula, J. Engstrom, and M. O’Kelly. “Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following.” IEEE Transactions on Intelligent Transportation Systems, 2025.
  5. Lamichhane, C. Chen, and A. Garcia. “Distributed Continuous-Time Unit Commitment with Energy Storage in Multi-Area Networks.” Electric Power Systems Research, 2025.
  6. R. Wei, A. McDonald, R. Mehta, and A. Garcia. “Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness and Fatigue.” Human Factors, 2024.
  7. J. Xi, A. Garcia, Ch. Chen, and R. Khatami. “Multi-agent Reinforcement Learning for Multi-area Power Exchange.” Electric Power Systems Research, 235, 2024.
  8. R. Wei, N. Lambert, A. McDonald, A. Garcia, and R. Calandra. “A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning.” Transactions on Machine Learning Research, 2024.
  9. J. Engström, R. Wei, A. D. McDonald, A. Garcia, M. O’Kelly, and L. Johnson. “Resolving Uncertainty on the Fly.” Frontiers in Neurorobotics, 18:1–22, 2024.
  10. R. Wei, A. McDonald, A. Garcia, and H. Alambeigi. “Modeling Driver Responses to Automation Failures with Active Inference.” IEEE Transactions on Intelligent Transportation Systems, 2022.
  11. Z. Wang, Y. Chang, B. J. Schmeichel, and A. Garcia. “The Effects of Mental Fatigue on Effort Allocation: Modeling and Estimation.” Psychological Review, 129(6):1457–1485, 2022.
  12. N. Trantham and A. Garcia. “Reputation Dynamics in Networks: Application to Cyber Security of Wind Farms.” Systems Engineering, 18:339–348, 2015.
  13. J. Garzas, M. Hong, and A. Garcia. “Interference Pricing Mechanism for Downlink Multicell Coordinated Beamforming.” IEEE Transactions on Communications, 62(6):1871–1883, 2014.
  14. M. Hong, A. Garcia, J. Barrera, and S. G. Wilson. “Joint Access Point Selection and Power Allocation for Uplink Wireless Networks: Equilibria and Algorithms.” IEEE Transactions on Signal Processing, 61(13):3334–3347, 2013.
  15. M. Hong and A. Garcia. “Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Networks.” IEEE Journal on Selected Areas in Communications, 30(11):2238–2250, 2012.
  16. M. Hong and A. Garcia. “Equilibrium Pricing of Interference in Cognitive Radio Networks.” IEEE Transactions on Signal Processing, 59(12):6058–6072, 2011.
  17. M. Hong and A. Garcia. “Averaged Iterative Water-Filling Algorithm: Robustness and Convergence.” IEEE Transactions on Signal Processing, 59(5):2448–2454, 2011.
  18. A. Garcia, D. Reaume, and R. L. Smith. “Fictitious Play for Finding System Optimal Routings in Dynamic Traffic Networks.” Transportation Research Part B: Methodological, 34(2):147–154, 2000.

  1. S. Biswas, B. Cavdar, A. Garcia, and J. Geunes. “The Price of Flexibility in Electricity Markets.” Energy Economics, 2025.
  2. A. Garcia, R. Khatami, C. Eksin, and F. Sezer. “An Incentive Compatible Iterative Mechanism for Coupling Electricity Markets.” IEEE Transactions on Power Systems, 37(2):1241–1252, 2022.
  3. N. Fabra and A. Garcia. “Market Structure and the Competitive Effects of Switching Costs.” Economics Letters, 126:150–155, 2015.
  4. A. Garcia, J. Alzate, and J. Barrera. “Regulatory Design and Incentives for Renewable Energy.” Journal of Regulatory Economics, 41(3):315–336, 2012.
  5. A. Garcia and E. Stacchetti. “Investment Dynamics in Electricity Markets.” Economic Theory, 46(2):149–187, 2011.
  6. G. Davis, A. Garcia, and W. Zhang. “Empirical Analysis of the Effects of Cyber Security Incidents.” Risk Analysis, 29(9):1304–1316, 2009.
  7. A. Garcia and B. Horowitz. “The Potential for Underinvestment in Internet Security: Implications for Regulatory Policy.” Journal of Regulatory Economics, 31(1):37–55, 2007.
  8. A. Garcia, J. Reitzes, and J. Benavides. “Incentive Contracts for Infrastructure, Litigation and Weak Institutions.” Journal of Regulatory Economics, 27(1):5–24, 2005.
  9. A. Garcia and L. Arbelaez. “Market Power in the Colombian Electricity Wholesale Market.” Energy Economics, 24(3):217–229, 2002.
  10. A. Garcia, J. Reitzes, and E. Stacchetti. “Strategic Pricing when Electricity is Storable.” Journal of Regulatory Economics, 20(3):223–247, 2001.

  1. A. Mohammadi, D. Hajinezhad, and A. Garcia. “A Trust-Region Approach for Computing Pareto Fronts in Multiobjective Derivative-Free Optimization.” Optimization Letters, 2025.
  2. Y. Sun and A. Garcia. “Interactive Model-based Search with Reactive Resource Allocation.” Journal of Global Optimization, 67(1):135–149, 2017.
  3. N. Fabra and A. Garcia. “Dynamic Price Competition with Switching Costs.” Dynamic Games and Applications, 5(4):540–567, 2015.
  4. Y. Wang and A. Garcia. “Interactive Model-based Search for Global Optimization.” Journal of Global Optimization, 61(3):479–495, 2015.
  5. A. Garcia, Y. Sun, and J. Shen. “Dynamic Platform Competition with Malicious Users.” Dynamic Games and Applications, 4(3):290–308, 2014.
  6. Y. Sun and A. Garcia. “Interactive Diffusions for Global Optimization.” Journal of Optimization Theory and Applications, 163(2):491–509, 2014.
  7. Ch. Li and A. Garcia. “Rational Swarms for Global Optimization.” International Journal of System Control and Information Processing, 1(1):1–26, 2012.
  8. A. Garcia, M. Hong, and J. Barrera. “Cap and Trade for Congestion Control.” Dynamic Games and Applications, 2(3):280–293, 2012.
  9. D. Ramirez, J. Daza, J. Visbal, C. Paternina, and A. Garcia. “The Dynamic Demand Game: A Markov State Fictitious Play Approach to a Two-Echelon Supply Chain Problem Under Demand Uncertainty.” International Journal of Industrial and Systems Engineering, 10(3):319–335, 2012.
  10. A. Garcia. “Forecast Horizons for Dynamic Games.” Journal of Optimization Theory and Applications, 122(3):471–486, 2004.
  11. A. Garcia and R. L. Smith. “Existence of Markov Perfect Equilibria (MPE) in Undiscounted Infinite Horizon Dynamic Games.” Journal of Optimization Theory and Applications, 107(2):433–441, 2000.
  12. A. Garcia and R. L. Smith. “Solving Nonstationary Infinite Horizon Stochastic Production Planning Problems.” Operations Research Letters, 27(3):135–141, 2000.