A Research on Reward Setting and Curiosity Encoding Methods
D Yang - 2023 International Conference on Image, Algorithms …, 2023 - atlantis-press.com
Agents in reinforcement learning relies on reward to make movement, improve algorithms,
and reach the final goal. However, reward setting is a subject that requires much …
and reach the final goal. However, reward setting is a subject that requires much …
3D pose estimation of vehicles from monocular videos using deep learning
Q Cheng - 2018 - elib.uni-stuttgart.de
In this thesis, we present a novel approach, Deep3DP, to perform 3D pose estimation of
vehicles from monocular images intended for autonomous driving scenarios. A robust deep …
vehicles from monocular images intended for autonomous driving scenarios. A robust deep …