ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
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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...
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Permalink
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...
AutoRL Workshop at ICML 2024, Vienna
Announcing the AutoRL workshop at ICML 2024, Vienna