research
∙
08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
share
research
∙
08/04/2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Recent months have seen the emergence of a powerful new trend in which l...
research
∙
07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
research
∙
03/10/2023
On the Unlikelihood of D-Separation
Causal discovery aims to recover a causal graph from data generated by i...
research
∙
12/16/2022
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
The feasibility of collecting a large amount of expert demonstrations ha...
research
∙
02/10/2022
Learning Latent Causal Dynamics
One critical challenge of time-series modeling is how to learn and quick...
research
∙
10/11/2021
Learning Temporally Causal Latent Processes from General Temporal Data
Our goal is to recover time-delayed latent causal variables and identify...
research
∙
09/29/2020
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data
The effectiveness of traditional traffic prediction methods is often ext...
research
∙
05/21/2020