Search Results for author:
Found 3 papers, 1 papers with code
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
General-purposed embodied agents are designed to understand the users' natural instructions or intentions and act precisely to complete universal tasks.
Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio
We also propose a reference design of the existing sampling-based method with optimized computing overheads to demonstrate the better accuracy of the proposed method.
Model-Based Opponent Modeling
When one agent interacts with a multi-agent environment, it is challenging to deal with various opponents unseen before.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
