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cs.LG2025
Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
Anthony Kobanda, Waris Radji, Mathieu Petitbois +2
Offline Goal-Conditioned Reinforcement Learning seeks to train agents to reach specified goals from previously collected trajectories. Scaling that promises to long-horizon tasks r…
cs.LG2025
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…