BillChan226/HALC
[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
PhD student at Secure Learning Lab at the CS department of the University of Chicago
[ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"
[ICLR 2025] Official implementation for "SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations"
Generate environments for RL post training.
established for the data normalization and reinforcement learning training scheme to train an agent in DCS world
The implementation for the integrated SRL-RL algorithm POAR as well as the simulator for environments
Applying IRL algorithms to learn robot arm motion planning from human demonstration
Official implementation for "MJ-BENCH: Is Your Multimodal Reward Model Really a Good Judge?"
applying both traditional and heuristics methods to pottery relics restoration (fragments matching, 3D model alignment)
This repository contains the algorithms implementation for vehicles scheduling, dispatching and planning in complicated scenarios such as intersection, junction etc. Currently we are developing learnable driving policies module via inverse reinforcement learning algorithms.
Config files for my GitHub profile.
SafeRLZoo, a standardized toolkit with over 12 SOTA model-free safe RL algorithms based on Spinningup and benchmark safety-critical tasks
Train transformer language models with reinforcement learning.
Purdue Spring23 CS593 Project
This repository is for backups for Professor David Gleich's course CS520 in Fall 2023 at Purdue.
This project mainly develops a visualization platform aiming to process and present the medical data of Greyout/Redout to analyze this symptom and its causes both qualitatively and quantitatively.