Gigastep-one billion steps per second multi-agent reinforcement learning
Multi-agent reinforcement learning (MARL) research is faced with a trade-off: it either uses
complex environments requiring large compute resources, which makes it inaccessible to …
complex environments requiring large compute resources, which makes it inaccessible to …
RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning
The interactive decision-making in multi-agent autonomous racing offers insights valuable
beyond the domain of self-driving cars. Mapless online path planning is particularly of …
beyond the domain of self-driving cars. Mapless online path planning is particularly of …