2 papers
cs.LG2025
Exploration with Foundation Models: Capabilities, Limitations, and Hybrid Approaches
Remo Sasso, Michelangelo Conserva, Dominik Jeurissen +1
Exploration in reinforcement learning (RL) remains challenging, particularly in sparse-reward settings. While foundation models possess strong semantic priors, their capabilities a…
cs.LG2025
Foundation Models as World Models: A Foundational Study in Text-Based GridWorlds
Remo Sasso, Michelangelo Conserva, Dominik Jeurissen +1
While reinforcement learning from scratch has shown impressive results in solving sequential decision-making tasks with efficient simulators, real-world applications with expensive…