Ph.D. Candidate @ McGill University VLMs | LLMs | Agents for Autonomous Systems
Awesome-VLA4AD. Vision–Language–Action models for Autonomous Driving (VLA4AD) resources, serving as the companion repository to the survey paper “A Survey on Vision–Language–Action Models for Autonomous Driving”.
607AdvAttack_LLM4TS. [AISTATS 2025] Official implementation of "Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting"
17DeepRL_PyTorch. Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
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