Joanneum Research

robo-gym is a toolkit for distributed Reinforcement Learning (RL) based on controlling simulated and real robots via ROS and gRPC. Environments in robo-gym are compatible with the Env API from Gymnasium and thus offer compatibility with a wide range of RL algorithm implementations. The archive contains master snapshots of the three individual repositories that need to work together.

Abstract Landslides are an important natural hazard in mountainous regions. Given the triggering and preconditioning by meteorological conditions, it is known that landslide risk may change in a warming climate, but whether climate change has already affected individual landslide events is still an open question, partly owing to landslide data limitations and methodological challenges in climate impact attribution.

The challenge with high permittivity acceptors in organic solar cells: a case study with Y-series derivatives† Peter Fürk, a Suman Mallick, a Thomas Rath, *ab Matiss Reinfelds, a Mingjian Wu, c Erdmann Spiecker, c Nikola Simic,d Georg Haberfehlner, d Gerald Kothleitner, d Barbara Ressel, e Sarah Holler, a Jana B.