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David Siska

2 accepted papers

2026

Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces

ICLR 2026poster

We prove the stability and global convergence of a coupled actor-critic gradient flow for infinite-horizon and entropy-regularised Markov decision processes (MDPs) in continuous state and action space with linear function approximation under Q-function realisability. We consider a version of the act…

Cited by 0SourceScholar
2022

Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime

ICML 2022spotlight

We study the global convergence of policy gradient for infinite-horizon, continuous state and action space, and entropy-regularized Markov decision processes (MDPs). We consider a softmax policy with (one-hidden layer) neural network approximation in a mean-field regime. Additional entropic regulari…

Cited by 26SourcePDFScholar