most citedEntropy annealing for policy mirror descent in continuous time and space

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

q-fin.PR2024

Pricing and hedging of decentralised lending contracts

Lukasz Szpruch, Marc Sabaté Vidales, Tanut Treetanthiploet +1

We study the loan contracts offered by decentralised loan protocols (DLPs) through the lens of financial derivatives. DLPs, which effectively are clearinghouses, facilitate transac…

cs.LG2024

-Policy Gradient for Online Pricing

Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang

Combining model-based and model-free reinforcement learning approaches, this paper proposes and analyzes an -policy gradient algorithm for the online pricing learning task. The…

math.OC2024★ 2 cited

Entropy annealing for policy mirror descent in continuous time and space

Deven Sethi, David Šiška, Yufei Zhang

Entropy regularization has been widely used in policy optimization algorithms to enhance exploration and the robustness of the optimal control; however it also introduces an additi…

math.OC2024

Mirror Descent for Stochastic Control Problems with Measure-valued Controls

Bekzhan Kerimkulov, David Šiška, Łukasz Szpruch +1

This paper studies the convergence of the mirror descent algorithm for finite horizon stochastic control problems with measure-valued control processes. The control objective invol…

math.OC2023★ 2 cited

A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces

Bekzhan Kerimkulov, James-Michael Leahy, David Siska +2

We study the global convergence of a Fisher-Rao policy gradient flow for infinite-horizon entropy-regularised Markov decision processes with Polish state and action space. The flow…