Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

K Rana, V Dasagi, J Haviland, B Talbot… - arXiv preprint arXiv …, 2021 - arxiv.org
While deep reinforcement learning (RL) agents have demonstrated incredible potential in
attaining dexterous behaviours for robotics, they tend to make errors when deployed in the …
被引用次数：2 相关文章
[PDF] academia.edu

[PDF][PDF] Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

K Rana, V Dasagi, J Haviland, B Talbot, M Milford… - academia.edu
While deep reinforcement learning (RL) agents have demonstrated incredible potential in
attaining dexterous behaviours for robotics, they tend to make errors when deployed in the …

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

K Rana, V Dasagi, J Haviland, B Talbot… - arXiv e …, 2021 - ui.adsabs.harvard.edu
While deep reinforcement learning (RL) agents have demonstrated incredible potential in
attaining dexterous behaviours for robotics, they tend to make errors when deployed in the …
[PDF] academia.edu

[PDF][PDF] Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

K Rana, V Dasagi, J Haviland, B Talbot, M Milford… - academia.edu
While deep reinforcement learning (RL) agents have demonstrated incredible potential in
attaining dexterous behaviours for robotics, they tend to make errors when deployed in the …