Agency, Learning and Animal-Based Reinforcement Learning. - Eduardo Alonso; Esther Mondragón (Agents and Computational Autonomy, 2003)

Internally Driven Q-learning - Convergence and Generalization Results. - Eduardo Alonso; Esther Mondragón; Niclas Kjäll-Ohlsson (ICAART (1), 2012)

A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. - Eduardo Alonso; Esther Mondragón; Alberto Fernández 002 (Comput. Methods Programs Biomed., 2012)

Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems. - Eduardo Alonso; Esther Mondragón (ICAART (1), 2013)

An extension of the Rescorla and Wagner Simulator for context conditioning. - Esther Mondragón; Eduardo Alonso; Alberto Fernández 002; Jonathan Gray (Comput. Methods Programs Biomed., 2013)

A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation. - Esther Mondragón; Jonathan Gray; Eduardo Alonso (Neuroinformatics, 2013)

Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning. - Eduardo Alonso; Esther Mondragón (ICAART (1), 2014)

Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison. - Eduardo Alonso; Pavandeep Sahota; Esther Mondragón (ICAART (1), 2014)

What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. - Eduardo Alonso; Esther Mondragón (Int. J. Artif. Life Res., 2014)

Back to optimality: a formal framework to express the dynamics of learning optimal behavior. - Eduardo Alonso; Michael Fairbank; Esther Mondragón (Adapt. Behav., 2015)

A Rescorla-Wagner drift-diffusion model of conditioning and timing. - André Luzardo; Eduardo Alonso; Esther Mondragón (PLoS Comput. Biol., 2017)

AIGenC: AI Generalisation via Creativity. - Corina Catarau-Cotutiu; Esther Mondragón; Eduardo Alonso (EPIA (2), 2023)

Cognitively Inspired Components for Social Conversational Agents. - Alex Clay; Eduardo Alonso; Esther Mondragón (CoRR, 2023)

DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers. - Aaron Mir; Eduardo Alonso; Esther Mondragón (ICAART (3), 2024)

Predictive Improvement through Latent Space Optimisation. - Alexander McCaffrey; Eduardo Alonso; Esther Mondragón (AAMAS, 2025)

Algebras of actions in an agent's representations of the world. - Alexander Dean; Eduardo Alonso; Esther Mondragón (Artif. Intell., 2025)

Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks. - Julian Jimenez Nimmo; Esther Mondragón (Neural Networks, 2025)

A representational framework for learning and encoding structurally enriched trajectories in complex agent environments. - Corina Catarau-Cotutiu; Esther Mondragón; Eduardo Alonso (CoRR, 2025)