2024 in AutoRL
TL;DR: From integrating RL with VLMs and LLMs to hyperparameter tuning, environment design, and generalization, 2024 was packed with innovation. We’ve highl...
TL;DR: From integrating RL with VLMs and LLMs to hyperparameter tuning, environment design, and generalization, 2024 was packed with innovation. We’ve highl...
TL;DR: A new contextual world-model that helps to generalize better to new scenarios by understanding contextual factors like robot mass or strength. This co...
Announcing the AutoRL workshop at ICML 2024, Vienna
TL;DR: From combining RL with LLMs through more efficient MetaRL and updates in an environment design to classic hyperparameter optimization, these are some ...