Tag: partial
-
Reinforcement Learning in MDPs with Information-Ordered Policies
Reinforcement Learning in MDPs with Information-Ordered Policies arXiv:2508.03904v1 Announce Type: new Abstract: We propose an epoch-based reinforcement learning algorithm for infinite-horizon average-cost Markov decision processes (MDPs) that leverages a partial order over a policy class. In this structure, $pi’ leq pi$ if data collected under $pi$ can be used to estimate the performance of $pi’$,…
-
From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC
From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC Phase space of a nonlinear pendulum. Photo by the author. Hamiltonian mechanics is a way to describe how physical systems, like planets or pendulums, move over time, focusing on energy rather than just forces. By reframing complex dynamics through energy lenses, this 19th-century physics…