Esther Mondragón

24 papers A 1Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A representational framework for learning and encoding structurally enriched trajectories in complex agent environments. Neural Networks Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2026	J	`jnl`	PALMS: Pavlovian Associative Learning Models Simulator. CoRR Martin Fixman, Alessandro Abati, Julian Jimenez Nimmo, Sean Lim, Esther Mondragón
2025	J	`jnl`	A representational framework for learning and encoding structurally enriched trajectories in complex agent environments. CoRR Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2025	J	`jnl`	Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks. CoRR Julian Jimenez Nimmo, Esther Mondragón
2025	J	`jnl`	Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks. Neural Networks Julian Jimenez Nimmo, Esther Mondragón
2025	J	`jnl`	Algebras of actions in an agent's representations of the world. Artif. Intell. Alexander Dean, Eduardo Alonso, Esther Mondragón
2025	A	`conf`	Predictive Improvement through Latent Space Optimisation. AAMAS Alexander McCaffrey, Eduardo Alonso, Esther Mondragón
2024	—	`conf`	DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. ICAART (3) Aaron Mir, Eduardo Alonso, Esther Mondragón
2023	—	`conf`	AIGenC: AI Generalisation via Creativity. EPIA (2) Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2023	J	`jnl`	Algebras of actions in an agent's representations of the world. CoRR Alexander Dean, Eduardo Alonso, Esther Mondragón
2023	J	`jnl`	Cognitively Inspired Components for Social Conversational Agents. CoRR Alex Clay, Eduardo Alonso, Esther Mondragón
2023	J	`jnl`	DiT-Head: High-Resolution Talking Head Synthesis using Diffusion Transformers. CoRR Aaron Mir, Eduardo Alonso, Esther Mondragón
2022	J	`jnl`	AIGenC: AI generalisation via creativity. CoRR Corina Catarau-Cotutiu, Esther Mondragón, Eduardo Alonso
2017	J	`jnl`	A Rescorla-Wagner drift-diffusion model of conditioning and timing. PLoS Comput. Biol. André Luzardo, Eduardo Alonso, Esther Mondragón
2015	J	`jnl`	Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adapt. Behav. Eduardo Alonso, Michael Fairbank, Esther Mondragón
2014	—	`conf`	Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. ICAART (1) Eduardo Alonso, Pavandeep Sahota, Esther Mondragón
2014	—	`conf`	Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. ICAART (1) Eduardo Alonso, Esther Mondragón
2014	J	`jnl`	What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. Int. J. Artif. Life Res. Eduardo Alonso, Esther Mondragón
2013	J	`jnl`	A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. Neuroinformatics Esther Mondragón, Jonathan Gray, Eduardo Alonso
2013	J	`jnl`	An extension of the Rescorla and Wagner Simulator for context conditioning. Comput. Methods Programs Biomed. Esther Mondragón, Eduardo Alonso, Alberto Fernández, Jonathan Gray
2013	—	`conf`	Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems. ICAART (1) Eduardo Alonso, Esther Mondragón
2012	J	`jnl`	A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Comput. Methods Programs Biomed. Eduardo Alonso, Esther Mondragón, Alberto Fernández
2012	—	`conf`	Internally Driven Q-learning - Convergence and Generalization Results. ICAART (1) Eduardo Alonso, Esther Mondragón, Niclas Kjäll-Ohlsson
2003	—	`conf`	Agency, Learning and Animal-Based Reinforcement Learning. Agents and Computational Autonomy Eduardo Alonso, Esther Mondragón