research
∙
09/20/2023
Are Large Language Models Really Robust to Word-Level Perturbations?
The swift advancement in the scale and capabilities of Large Language Mo...
share
research
∙
05/25/2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Data augmentation (DA) is a crucial technique for enhancing the sample e...
research
∙
01/28/2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Offline safe RL is of great practical relevance for deploying agents in ...
research
∙
12/14/2022
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning
Learning a risk-aware policy is essential but rather challenging in unst...
research
∙
12/12/2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks
Safety comes first in many real-world applications involving autonomous ...
research
∙
06/17/2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving
Safe reinforcement learning (RL) has achieved significant success on ris...
research
∙
05/24/2022