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 ...
TL;DR: Hyperparameter Optimization tools perform well on Reinforcement Learning, outperforming Grid Searches with less than 10% of the budget. If not reporte...
TL;DR: We can model and investigate generalization in RL with contextual RL and our benchmark library CARL. In theory, without adding context we cannot achie...