2 papers
cs.LG2024
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation
Catalin E. Brita, Stephan Bongers, Frans A. Oliehoek
In offline reinforcement learning, deriving an effective policy from a pre-collected set of experiences is challenging due to the distribution mismatch between the target policy an…
stat.ML2024
When Do Off-Policy and On-Policy Policy Gradient Methods Align?
Davide Mambelli, Stephan Bongers, Onno Zoeter +2
Policy gradient methods are widely adopted reinforcement learning algorithms for tasks with continuous action spaces. These methods succeeded in many application domains, however,…