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Found 5 papers, 0 papers with code
A Comprehensive Review of Modern Object Segmentation Approaches
Image segmentation is the task of associating pixels in an image with their respective object class labels.
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone
The proposed mesh generation module incrementally fuses each estimated keyframe depth map to an online dense surface mesh, which is useful for achieving realistic AR effects such as occlusions and collisions.
Adversarial recovery of agent rewards from latent spaces of the limit order book
In this paper, we explore whether adversarial inverse RL algorithms can be adapted and trained within such latent space simulations from real market data, while maintaining their ability to recover agent rewards robust to variations in the underlying dynamics, and transfer them to new regimes of the original environment.
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
We build a profitable electronic trading agent with Reinforcement Learning that places buy and sell orders in the stock market.
Model-based Reinforcement Learning
reinforcement-learning
+1
Active Object Reconstruction Using a Guided View Planner
Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner.
