2 papers
cs.LG2026
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
Alireza Modirshanechi, Benjamin Eysenbach, Peter Dayan +1
Unsupervised pretraining has driven empirical advances in goal-conditioned reinforcement learning (GCRL), but its theoretical foundations remain poorly understood. In particular, a…
cs.CY2026
Measuring What AI Systems Might Do: Towards A Measurement Science in AI
Konstantinos Voudouris, Mirko Thalmann, Alex Kipnis +2
Scientists, policy-makers, business leaders, and members of the public care about what modern artificial intelligence systems are disposed to do. Yet terms such as capabilities, pr…