1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 1 cited
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning
Tian Gao, Soroush Nasiriany, Huihan Liu +2
Imitation learning has shown great potential for enabling robots to acquire complex manipulation behaviors. However, these algorithms suffer from high sample complexity in long-hor…
cs.RO2022
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation
Quantao Yang, Johannes A. Stork, Todor Stoyanov
In manufacturing, assembly tasks have been a challenge for learning algorithms due to variant dynamics of different environments. Reinforcement learning (RL) is a promising framewo…