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Found 4 papers, 1 papers with code
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
Reinforcement learning-based methods for constructing solutions to combinatorial optimization problems are rapidly approaching the performance of human-designed algorithms.
Learning Embeddings for Sequential Tasks Using Population of Agents
We present an information-theoretic framework to learn fixed-dimensional embeddings for tasks in reinforcement learning.
METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors
We present a new traffic dataset, METEOR, which captures traffic patterns and multi-agent driving behaviors in unstructured scenarios.
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
However, vision based robotic grasp detection is hindered by the unavailability of sufficient labelled data.
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