Elsa Lab

[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.

Advanced detail please visit: https://bit.ly/3ugdw8l
Paper Download: https://bit.ly/34rifZZ

ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://elsalab.ai/

[AAMAS 2018] A Deep Policy Inference Q-Network for Multi-Agent Systems AAMAS 2018 Full Paper

[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
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.

Advanced detail please visit: https://bit.ly/2YBeDC8
Paper Download: https://reurl.cc/Xl4NR0
GitHub: https://reurl.cc/EZpL6k
Presentation Video: https://reurl.cc/82WL6j
Demonstration Video: https://reurl.cc/vge4pL

ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://elsalab.ai/

[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for… ICML 2021 Full Paper

[CVPR 2018] Dynamic Video Segmentation Network

We present our Dynamic Video Segmentation Network (DVSNet) for fast and efficient semantic video segmentation. DVSNet utilizes a decision network based on expected confidence score to make decisions and forwards different frame regions to a more accurate but slower segmentation path or a less accurate but faster spatial warping path. DVSNet is able to strike a balance between quality and efficiency for semantic video segmentation.

Advanced detail please visit: https://bit.ly/3FuxT4Y
Paper Download: https://reurl.cc/Nr3G86
arXiv: https://reurl.cc/xGd1b1
GitHub: https://reurl.cc/Gm7XYW
Demonstration Video: https://reurl.cc/dGReb8

ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://elsalab.ai/

[CVPR 2018] Dynamic Video Segmentation Network 2018 CVPR Full Paper

[ICCD 2019] A Distributed Scheme for Accelerating Semantic

Video Segmentation on An Embedded Cluster
We present a framework which is in a master-slave hierarchy for performing semantic video segmentation tasks on an embedded cluster with increasing frame rates and small accuracy degradation.

Advanced detail please visit: https://bit.ly/3oRuasx
Download: https://reurl.cc/VEe1vN
IEEE: https://reurl.cc/a9zGjY
Presentation Link: https://reurl.cc/O0D43R

ELSA Lab is a research laboratory focusing on Deep Reinforcement Learning, Intelligent Robotics, and Computer Vision. Please visit our website: https://elsalab.ai/

[ICCD 2019] A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded… 2019 ICCD Full Paper