AutoRL Workshop at ICML 2024, Vienna
Announcing the AutoRL workshop at ICML 2024, Vienna
Recent Posts
2023 in AutoRL
TL;DR: From combining RL with LLMs through more efficient MetaRL and updates in an environment design to classic hyperparameter optimization, these are some ...
Hyperparameter Tuning in Reinforcement Learning is Easy, Actually Permalink
TL;DR: Hyperparameter Optimization tools perform well on Reinforcement Learning, outperforming Grid Searches with less than 10% of the budget. If not reporte...
Contextualize Me – The Case for Context in Reinforcement Learning Permalink
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...
Understanding AutoRL Hyperparameter Landscapes Permalink
TL;DR: We investigate hyperparameters in RL by building landscapes of algorithm performance for different hyperparameter values at different stages of traini...