17 citations · 17 across the 3 of their papers we have counts for
3 papers
World-Gymnast: Training Robots with Reinforcement Learning in a World Model
Ansh Kumar Sharma, Yixiang Sun, Ninghao Lu +3
Robot learning from interacting with the physical world is fundamentally bottlenecked by the cost of physical interaction. The two alternatives, supervised finetuning (SFT) from ex…
WorldGym: World Model as An Environment for Policy Evaluation
Julian Quevedo, Ansh Kumar Sharma, Yixiang Sun +3
Evaluating robot control policies is difficult: real-world testing is costly, and handcrafted simulators require manual effort to improve in realism and generality. We propose a wo…
Node Injection for Class-specific Network Poisoning
Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda +1
Graph Neural Networks (GNNs) are powerful in learning rich network representations that aid the performance of downstream tasks. However, recent studies showed that GNNs are vulner…