Rishav Rishav — accepted AI-conference papers

2025

Handling Delay in Real-Time Reinforcement Learning

Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish, Samira Ebrahimi Kahou

ICLR 2025poster

Real-time reinforcement learning (RL) introduces several challenges. First, policies are constrained to a fixed number of actions per second due to hardware limitations. Second, the environment may change while the network is still computing an action, leading to observational delay. The first issue…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2020

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

Rishav Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker

IROS 2020poster

Scene flow is the dense 3D reconstruction of motion and geometry of a scene. Most state-of-the-art methods use a pair of stereo images as input for full scene reconstruction. These methods depend a lot on the quality of the RGB images and perform poorly in regions with reflective objects, shadows, i…

Cited by 38 Source ↗code ↗Scholar ↗