Elsa Lab[ACM TELO 2021 / NeurIPS 2020 Works] Reusability and Transferability of Macro Actions for…ACM TELO 2021 Full Paper7 min read·Apr 20, 2022----
Elsa Lab[ICLR 2022] Denoising Likelihood Score Matching for Condition Score-Based Data GenerationICLR 2022 Full Paper8 min read·Mar 17, 2022----
Elsa Lab[AAMAS 2018] A Deep Policy Inference Q-Network for Multi-Agent SystemsAAMAS 2018 Full Paper8 min read·Jan 31, 2022----
Elsa Lab[CoRL 2019] Adversarial Active Exploration for Inverse Dynamics Model LearningCoRL 2019 Full Paper6 min read·Dec 24, 2021--1--1
Elsa Lab[NeurIPS 2018] Diversity-Driven Exploration Strategy for Deep Reinforcement LearningNeurIPS 2018 Full Paper7 min read·Nov 25, 2021----
Elsa Lab[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for…ICML 2021 Full Paper7 min read·Sep 26, 2021----
Elsa Lab[CVPR 2018] Dynamic Video Segmentation Network2018 CVPR Full Paper11 min read·Aug 26, 2021----
Elsa Lab[IJCAI 2018] Virtual-to-Real: Learning to Control in Visual Semantic Segmentation2018 IJCAI Full Paper11 min read·Aug 3, 2021----
Elsa Lab[ICCD 2019] A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded…2019 ICCD Full Paper10 min read·Jul 12, 2021----
Elsa Lab[ICRA 2021] Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning…2021 ICRA Full Paper8 min read·Jun 21, 2021----
![[ACM TELO 2021 / NeurIPS 2020 Works] Reusability and Transferability of Macro Actions for…](https://miro.medium.com/v2/resize:fill:160:106/1*oiFoB4M6Yct7zVThXiDntw.png)
![[ACM TELO 2021 / NeurIPS 2020 Works] Reusability and Transferability of Macro Actions for…](https://miro.medium.com/v2/resize:fill:320:214/1*oiFoB4M6Yct7zVThXiDntw.png)
![[ICLR 2022] Denoising Likelihood Score Matching for Condition Score-Based Data Generation](https://miro.medium.com/v2/resize:fill:160:106/1*Ji6ESqmPI8W6PdMpu2CAWQ.jpeg)
![[ICLR 2022] Denoising Likelihood Score Matching for Condition Score-Based Data Generation](https://miro.medium.com/v2/resize:fill:320:214/1*Ji6ESqmPI8W6PdMpu2CAWQ.jpeg)
![[AAMAS 2018] A Deep Policy Inference Q-Network for Multi-Agent Systems](https://miro.medium.com/v2/resize:fill:160:106/1*wcZCdL4RHs3V_NiB6DoU4w.jpeg)
![[AAMAS 2018] A Deep Policy Inference Q-Network for Multi-Agent Systems](https://miro.medium.com/v2/resize:fill:320:214/1*wcZCdL4RHs3V_NiB6DoU4w.jpeg)
![[CoRL 2019] Adversarial Active Exploration for Inverse Dynamics Model Learning](https://miro.medium.com/v2/resize:fill:160:106/1*CWmrgcATnou5dK__YMI6mA.jpeg)
![[CoRL 2019] Adversarial Active Exploration for Inverse Dynamics Model Learning](https://miro.medium.com/v2/resize:fill:320:214/1*CWmrgcATnou5dK__YMI6mA.jpeg)
![[NeurIPS 2018] Diversity-Driven Exploration Strategy for Deep Reinforcement Learning](https://miro.medium.com/v2/resize:fill:160:106/1*lTP06u4RXBCmK9hl32d56A.jpeg)
![[NeurIPS 2018] Diversity-Driven Exploration Strategy for Deep Reinforcement Learning](https://miro.medium.com/v2/resize:fill:320:214/1*lTP06u4RXBCmK9hl32d56A.jpeg)
![[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for…](https://miro.medium.com/v2/resize:fill:160:106/1*edivcJYXtrqOyIcgt7A0KQ.jpeg)
![[ICML 2021 Spotlight] DFAC Framework: Factorizing the Value Function via Quantile Mixture for…](https://miro.medium.com/v2/resize:fill:320:214/1*edivcJYXtrqOyIcgt7A0KQ.jpeg)
![[CVPR 2018] Dynamic Video Segmentation Network](https://miro.medium.com/v2/resize:fill:160:106/1*V4_ZWzP-I4Ots6kW9GzeCg.jpeg)
![[CVPR 2018] Dynamic Video Segmentation Network](https://miro.medium.com/v2/resize:fill:320:214/1*V4_ZWzP-I4Ots6kW9GzeCg.jpeg)
![[IJCAI 2018] Virtual-to-Real: Learning to Control in Visual Semantic Segmentation](https://miro.medium.com/v2/resize:fill:160:106/1*tTyZuj9qHnp51XwtCNOIow.jpeg)
![[IJCAI 2018] Virtual-to-Real: Learning to Control in Visual Semantic Segmentation](https://miro.medium.com/v2/resize:fill:320:214/1*tTyZuj9qHnp51XwtCNOIow.jpeg)
![[ICCD 2019] A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded…](https://miro.medium.com/v2/resize:fill:160:106/1*kDYNz43A1gpJMvoecM0N_w.jpeg)
![[ICCD 2019] A Distributed Scheme for Accelerating Semantic Video Segmentation on An Embedded…](https://miro.medium.com/v2/resize:fill:320:214/1*kDYNz43A1gpJMvoecM0N_w.jpeg)
![[ICRA 2021] Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning…](https://miro.medium.com/v2/resize:fill:160:106/1*RsDpoWA7lLRBGb4TuCBnJA.jpeg)
![[ICRA 2021] Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning…](https://miro.medium.com/v2/resize:fill:320:214/1*RsDpoWA7lLRBGb4TuCBnJA.jpeg)
