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Feihan Li

2 accepted papers

2024

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence

ICML 2024poster

In recent years, trust region on-policy reinforcement learning has achieved impressive results in addressing complex control tasks and gaming scenarios. However, contemporary state-of-the-art algorithms within this category primarily emphasize improvement in expected performance, lacking the ability…

Cited by 2SourcePDFScholar
2023

Implementation and Optimization of Grasping Learning with Dual-modal Soft Gripper

ICRA 2023poster

Robust and efficient grasping of different objects is still an open problem due to the difficulty of integrating multidisciplinary knowledge such as gripper ontology design, perception, control, and learning. In recent years, learning-based methods have achieved excellent results in grasping various…

Cited by 4SourceScholar