3 citations · 3 across the 13 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
Zhiyong Wang, Dongruo Zhou, John C. S. Lui +1
Learning a transition model via Maximum Likelihood Estimation (MLE) followed by planning inside the learned model is perhaps the most standard and simplest Model-based Reinforcemen…
cs.AI2024★ 3 cited
Koopman-Assisted Reinforcement Learning
Preston Rozwood, Edward Mehrez, Ludger Paehler +2
The Bellman equation and its continuous form, the Hamilton-Jacobi-Bellman equation, are ubiquitous in reinforcement learning and control theory. However, these equations become int…