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Internally Driven Q-learning - Convergence and Generalization Results.

, , and . ICAART (1), page 491-494. SciTePress, (2012)

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Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison., , and . ICAART (1), page 544-547. SciTePress, (2014)Internally Driven Q-learning - Convergence and Generalization Results., , and . ICAART (1), page 491-494. SciTePress, (2012)Back to optimality: a formal framework to express the dynamics of learning optimal behavior., , and . Adaptive Behaviour, 23 (4): 206-215 (2015)An extension of the Rescorla and Wagner Simulator for context conditioning., , , and . Computer Methods and Programs in Biomedicine, 110 (2): 226-230 (2013)A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions., , and . Computer Methods and Programs in Biomedicine, 108 (1): 346-355 (2012)A Rescorla-Wagner drift-diffusion model of conditioning and timing., , and . PLoS Computational Biology, (2017)A Complete Serial Compound Temporal Difference Simulator for Compound stimuli, Configural cues and Context representation., , and . Neuroinformatics, 11 (2): 259-261 (2013)Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning., and . ICAART (1), page 548-551. SciTePress, (2014)Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems., and . ICAART (1), page 141-146. SciTePress, (2013)Agency, Learning and Animal-Based Reinforcement Learning., and . Agents and Computational Autonomy, volume 2969 of Lecture Notes in Computer Science, page 1-6. Springer, (2003)