1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 1 cited
Task-driven Semantic Coding via Reinforcement Learning
Xin Li, Jun Shi, Zhibo Chen
Task-driven semantic video/image coding has drawn considerable attention with the development of intelligent media applications, such as license plate detection, face detection, an…
eess.IV2019
Reinforced Bit Allocation under Task-Driven Semantic Distortion Metrics
Jun Shi, Zhibo Chen
Rapid growing intelligent applications require optimized bit allocation in image/video coding to support specific task-driven scenarios such as detection, classification, segmentat…
cs.LG2018★ 1 cited
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong +26
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle c…