Gradient-based adaptive stochastic search for simulation optimization over continuous space

von Zhou, Enlu
Veröffentlicht in Institute for Operations Research and the Management Sciences INFORMS journal on computing (2018)

A generalization of the Borkar-Meyn theorem for stochastic recursive inclusions

von Ramaswamy, Arunselvan
Veröffentlicht in Mathematics of operations research (2017)

Two time-scale stochastic approximation with controlled markov noise and off-policy temporal-difference learning

von Karmakar, Prasenjit
Veröffentlicht in Mathematics of operations research (2018)

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

von Jayant, Ashish K
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)

Stochastic recursive inclusions in two timescales with nonadditive iterate-dependent Markov noise

von Yaji, Vinayaka G.
Veröffentlicht in Mathematics of operations research (2020)

A simulation-based algorithm for optimal pricing policy under demand uncertainty

von Chakravarty, Saswata
Veröffentlicht in International transactions in operational research (2014)

A Convergent Off-Policy Temporal Difference Algorithm

von Diddigi, Raghuram Bharadwaj
Veröffentlicht in European Conference on Artificial Intelligence (24. : 2020 : Online) ECAI 2020 ; Part 2 (2020)

Deep Reinforcement Learning for Optimal Traffic Control

von Nannapaneni, Rajasekhar
Veröffentlicht in International Conference on Machine Intelligence and Smart Systems 2021 (2. : 2021 : Gwalior) Machine intelligence and smart systems (2022)

ATTENTION ACTOR-CRITIC ALGORITHM FOR MULTI-AGENT CONSTRAINED CO- OPERATIVE REINFORCEMENT LEARNING

von Parnika, P.
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 3 of 3 (2021)