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Found 6 papers, 2 papers with code
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
In this work, we propose an action and trajectory planner using Hierarchical Reinforcement Learning (atHRL) method, which models the agent behavior in a hierarchical model by using the perception of the lidar and birdeye view.
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
The proposed method learns keypoints from camera images as the state representation, through a self-supervised autoencoder architecture.
Deep N-ary Error Correcting Output Codes
To facilitate the training of N-ary ECOC with deep learning base learners, we further propose three different variants of parameter sharing architectures for deep N-ary ECOC.
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
The proposed method is able to efficiently generalize the previously learned task by model fusion to solve the environment adaptation problem.
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
The proposed RoboCoDraw system takes a real human face image as input, converts it to a stylized avatar, then draws it with a robotic arm.
Robotics Graphics
Sparse quadratic classification rules via linear dimension reduction
We consider the problem of high-dimensional classification between the two groups with unequal covariance matrices.
