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Elsa Lab

@ElsaLab9

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ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning (DRL), Intelligent Robotics, and Robotics Vision.

Hsinchu City, Taiwan
Joined June 2019
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@ElsaLab9
Elsa Lab
3 years
ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://t.co/WyCrpenL99 #ArtificialIntelligence #MachineLearning #DLSM
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@ElsaLab9
Elsa Lab
3 years
Advanced detail please visit: https://t.co/qQByzEwvE6 Paper Download:
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elsaresearchlab.medium.com
ICLR 2022 Full Paper
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@ElsaLab9
Elsa Lab
3 years
[ICLR 2022] Denoising Likelihood Score Matching for Condition Score-Based Data Generation We propose a new denoising likelihood score-matching (DLSM) loss to deal with the score mismatch issue we found in the existing conditional score-based data generation methods.
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/6p3fyo917r Paper Download: https://t.co/t3q6iFENYC ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website:
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arxiv.org
We present DPIQN, a deep policy inference Q-network that targets multi-agent systems composed of controllable agents, collaborators, and opponents that interact with each other. We focus on one...
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@ElsaLab9
Elsa Lab
4 years
[AAMAS 2018] A Deep Policy Inference Q-Network for Multi-Agent Systems We present DPIQN, a deep policy inference Q-network that targets multi-agent systems composed of controllable agents, collaborators, and opponents that interact with each other.
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/jInF91KCqp Paper Download: https://t.co/W1GO8ikhbj ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website:
elsaresearchlab.medium.com
CoRL 2019 Full Paper
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@ElsaLab9
Elsa Lab
4 years
[CoRL 2019] Adversarial Active Exploration for Inverse Dynamics Model Learning We presented an adversarial active exploration, which consists of a DRL agent and an inverse dynamics model competing with each other for efficient data collection.
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@ElsaLab9
Elsa Lab
4 years
ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://t.co/WyCrpenL99 #ArtificialIntelligence #DeepLearning #ReinforcementLearning
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/BUyRsEPNbc Paper Download: https://t.co/wxDBm16PUE Demonstration Video:
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@ElsaLab9
Elsa Lab
4 years
[NeurIPS 2018] Diversity-Driven Exploration Strategy for Deep Reinforcement Learning ​​We presented a diversity-driven exploration strategy, which can be effectively combined with current DRL algorithms through using an additional distance measure term to the loss function.
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@ElsaLab9
Elsa Lab
4 years
ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website:
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/fIZf8EVe5k Paper Download: https://t.co/mDjtoZpVS7 GitHub: https://t.co/mNNYOY7dBa Presentation Video: https://t.co/Kd9Jo9bELw Demonstration Video:
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@ElsaLab9
Elsa Lab
4 years
We provided a distributional perspective on value function factorization methods, and introduced a framework, called DFAC, for integrating distributional RL with MARL domains. We achieve State-of-the-art performance on the 5 Super Hard scenarios in the SMAC benchmark.
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@ElsaLab9
Elsa Lab
4 years
[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning #ArtificialIntelligence #MachineLearning #DeepLearning #ReinforcementLearning
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/fQuEczxfX1 Paper Download: https://t.co/TM5xAB1OLs arXiv: https://t.co/yfXEkWjTBx GitHub: https://t.co/rMbQlVi6hb Demonstration Video:
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@ElsaLab9
Elsa Lab
4 years
[CVPR 2018] Dynamic Video Segmentation Network We present our Dynamic Video Segmentation Network (DVSNet) for fast and efficient semantic video segmentation. #ArtificialIntelligence #ComputerVision #MachineLearning #DeepLearning #SemanticSegmentation
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@ElsaLab9
Elsa Lab
4 years
ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://t.co/WyCrpenL99 #ArtificialIntelligence #ReinforcementLearning #MachineLearning #DeepLearning #SemanticSegmentation
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@ElsaLab9
Elsa Lab
4 years
Advanced detail please visit: https://t.co/7a2n2iBtye ArXiv: https://t.co/UI0ixVe0Jf IJCAI: https://t.co/LVZz8Mwf8C Video Link:
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