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05/19/2020
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
The goal of this work is to provide a viable solution based on reinforce...
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11/27/2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Neural networks have enabled state-of-the-art approaches to achieve incr...
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09/25/2019
Model Imitation for Model-Based Reinforcement Learning
Model-based reinforcement learning (MBRL) aims to learn a dynamic model ...
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01/29/2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Human behaviors are regularized by a variety of norms or regulations, ei...
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01/27/2019
Imitation Learning from Imperfect Demonstration
Imitation learning (IL) aims to learn an optimal policy from demonstrati...
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09/06/2018
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
Multivariate time series forecasting is extensively studied throughout t...
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12/12/2017