2 papers
cs.LG2026
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda, Rémy Portelas, Odalric-Ambrym Maillard +1
We consider a Continual Reinforcement Learning setup, where a learning agent must continuously adapt to new tasks while retaining previously acquired skill sets, with a focus on th…
cs.LG2026
A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
Anthony Kobanda, Odalric-Ambrym Maillard, Rémy Portelas
Autonomous agents operating in domains such as robotics or video game simulations must adapt to changing tasks without forgetting about the previous ones. This process called Conti…