Marcello Restelli
4 papers in the PaperMetrix corpus
Papers by this author
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Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
2016 · Journal of Artificial Intelligence Research
Many real-world control applications, from economics to robotics, are characterized by the presence of multiple conflicting objectives. In these problems, the standard concept of optimality is replaced by Pareto-optimality and the goal is to find …
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Learning a Belief Representation for Delayed Reinforcement Learning
2021
This paper considers sequential decision-making problems where the interactions between an agent and its environment are affected by delays. Delays may be present in the state observation, in the action execution, or in the reward …
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Parameterized Projected Bellman Operator
2023 · arXiv (Cornell University)
Approximate value iteration (AVI) is a family of algorithms for reinforcement learning (RL) that aims to obtain an approximation of the optimal value function. Generally, AVI algorithms implement an iterated procedure where each step consists …
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Causal Feature Selection via Transfer Entropy
2024
Machine learning algorithms are designed to capture complex relationships between features. In this context, the high dimensionality of data often results in poor model performance, with the risk of overfitting. Feature selection, the process of …