Search Results for author:
Found 2 papers, 1 papers with code
Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
To this end, we present $\textit{PackeRL}$, the first packet-level Reinforcement Learning environment for routing in generic network topologies.
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks
In our experiments, we demonstrate that MSPred accurately predicts future video frames as well as high-level representations (e. g. keypoints or semantics) on bin-picking and action recognition datasets, while consistently outperforming popular approaches for future frame prediction.
Ranked #1 on
Video Prediction
on KTH
(LPIPS metric)
