Search Results for author:
Found 3 papers, 2 papers with code
SeqDialN: Sequential Visual Dialog Network in Joint Visual-Linguistic Representation Space
In this work, we formulate a visual dialog as an information flow in which each piece of information is encoded with the joint visual-linguistic representation of a single dialog round.
Learning the Market: Sentiment-Based Ensemble Trading Agents
We propose the integration of sentiment analysis and deep-reinforcement learning ensemble algorithms for stock trading, and design a strategy capable of dynamically altering its employed agent given concurrent market sentiment.
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Robotic simulators are crucial for academic research and education as well as the development of safety-critical applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
