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Found 6 papers, 2 papers with code
Dependency Parsing with Backtracking using Deep Reinforcement Learning
Greedy algorithms for NLP such as transition based parsing are prone to error propagation.
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction
In robotics, methods and softwares usually require optimizations of hyperparameters in order to be efficient for specific tasks, for instance industrial bin-picking from homogeneous heaps of different objects.
Toward a Procedural Fruit Tree Rendering Framework for Image Analysis
We propose a procedural fruit tree rendering framework, based on Blender and Python scripts allowing to generate quickly labeled dataset (i. e. including ground truth semantic segmentation).
Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning
In simulation, we demonstrate the benefit of the transfer learning based on visual similarity, as opposed to an amnesic learning (i. e. learning from scratch all the time).
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
Kinematic Structure Correspondences via Hypergraph Matching
In this paper, we present a novel framework for finding the kinematic structure correspondence between two objects in videos via hypergraph matching.
