Search Results for author: Antonio Filieri

Found 3 papers, 2 papers with code

Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)

no code implementations10 Jul 2023 Xiaotong Ji, Antonio Filieri

We demonstrate our method's effectiveness in reducing safety violations during online exploration in preliminary experiments by an average of 40. 3% compared with QL and DQN standard algorithms and 29. 1% compared with previous related work, while achieving comparable cumulative rewards with respect to unrestricted exploration and alternative approaches.

reinforcement-learning Reinforcement Learning (RL) +1

Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis

1 code implementation10 Oct 2020 Yicheng Luo, Antonio Filieri, Yuan Zhou

Probabilistic software analysis aims at quantifying the probability of a target event occurring during the execution of a program processing uncertain incoming data or written itself using probabilistic programming constructs.

Probabilistic Programming

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