Search Results for author: Bobak Hashemi

Found 2 papers, 1 papers with code

IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control

no code implementations1 Jun 2023 Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau

Model-based reinforcement learning (RL) has shown great promise due to its sample efficiency, but still struggles with long-horizon sparse-reward tasks, especially in offline settings where the agent learns from a fixed dataset.

D4RL Model-based Reinforcement Learning +4

LHC analysis-specific datasets with Generative Adversarial Networks

1 code implementation16 Jan 2019 Bobak Hashemi, Nick Amin, Kaustuv Datta, Dominick Olivito, Maurizio Pierini

Using generative adversarial networks (GANs), we investigate the possibility of creating large amounts of analysis-specific simulated LHC events at limited computing cost.

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