1 code implementation • 12 Sep 2022 • Lingheng Meng, Rob Gorbet, Dana Kulić
Deep Reinforcement Learning (DRL) has made tremendous advances in both simulated and real-world robot control tasks in recent years.
1 code implementation • 24 Feb 2021 • Lingheng Meng, Rob Gorbet, Dana Kulić
A promising characteristic of Deep Reinforcement Learning (DRL) is its capability to learn optimal policy in an end-to-end manner without relying on feature engineering.
no code implementations • 23 Jun 2020 • Lingheng Meng, Rob Gorbet, Dana Kulić
Recently, research in Deep Reinforcement Learning (DRL) also shows that multi-step methods improve learning speed and final performance in applications where the value-function and policy are represented with deep neural networks.
no code implementations • 10 Jun 2020 • Ali Samadani, Rob Gorbet, Dana Kulic
The proposed approach is tested using a full-body movement dataset.