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Found 7 papers, 4 papers with code
The State of Sparse Training in Deep Reinforcement Learning
The use of sparse neural networks has seen rapid growth in recent years, particularly in computer vision.
Robotic Table Tennis with Model-Free Reinforcement Learning
We propose a model-free algorithm for learning efficient policies capable of returning table tennis balls by controlling robot joints at a rate of 100Hz.
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning
We introduce SLM Lab, a software framework for reproducible reinforcement learning (RL) research.
Natural Language Understanding with the Quora Question Pairs Dataset
This paper explores the task Natural Language Understanding (NLU) by looking at duplicate question detection in the Quora dataset.
Emergent Linguistic Phenomena in Multi-Agent Communication Games
In this work, we propose a computational framework in which agents equipped with communication capabilities simultaneously play a series of referential games, where agents are trained using deep reinforcement learning.
Composable Unpaired Image to Image Translation
There has been remarkable recent work in unpaired image-to-image translation.
Sentiment Classification using Images and Label Embeddings
In this project we analysed how much semantic information images carry, and how much value image data can add to sentiment analysis of the text associated with the images.
