Alessandro Sestini
3 papers in the PaperMetrix corpus
Papers by this author
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CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories
2022 · arXiv (Cornell University)
This paper proposes a novel deep reinforcement learning algorithm to perform automatic analysis and detection of gameplay issues in complex 3D navigation environments. The Curiosity-Conditioned Proximal Trajectories (CCPT) method combines curiosity and imitation learning to …
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Contextual Decision Trees
2022 · arXiv (Cornell University)
Focusing on Random Forests, we propose a multi-armed contextual bandit recommendation framework for feature-based selection of a single shallow tree of the learned ensemble. The trained system, which works on top of the Random Forest, …
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Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents
2021 · arXiv (Cornell University)
In this article we study the problem of training intelligent agents using Reinforcement Learning for the purpose of game development. Unlike systems built to replace human players and to achieve super-human performance, our agents aim …