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Found 3 papers, 1 papers with code
Synthesizing Traffic Datasets using Graph Neural Networks
This paper introduces a novel methodology for bridging this `sim-real' gap by creating photorealistic images from 2D traffic simulations and recorded junction footage.
Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents
The service consumer requires a procurement strategy that achieves the optimal balance between success probability and invocation cost.
Domain Adaptation for Reinforcement Learning on the Atari
Deep reinforcement learning agents have recently been successful across a variety of discrete and continuous control tasks; however, they can be slow to train and require a large number of interactions with the environment to learn a suitable policy.
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