Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Mohammad Ghavamzadeh

Mohammad Ghavamzadeh

RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

Sep 14, 2022
Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh, Reazul Russel

Figure 1 for RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

Figure 2 for RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

Figure 3 for RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

Figure 4 for RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

Access Paper or Ask Questions

Robust Reinforcement Learning using Offline Data

Aug 10, 2022
Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh

Figure 1 for Robust Reinforcement Learning using Offline Data

Figure 2 for Robust Reinforcement Learning using Offline Data

Figure 3 for Robust Reinforcement Learning using Offline Data

Figure 4 for Robust Reinforcement Learning using Offline Data

* 39 pages

Access Paper or Ask Questions

Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

Jul 01, 2022
Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu

Figure 1 for Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

Figure 2 for Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

Figure 3 for Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

Figure 4 for Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

* Presented in the Conversational AI Workshop, NeurIPS 2019

Access Paper or Ask Questions

Collaborative Multi-agent Stochastic Linear Bandits

May 12, 2022
Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh

Figure 1 for Collaborative Multi-agent Stochastic Linear Bandits

Figure 2 for Collaborative Multi-agent Stochastic Linear Bandits

* American Control Conference (ACC), 2022

Access Paper or Ask Questions

Multi-Environment Meta-Learning in Stochastic Linear Bandits

May 12, 2022
Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh

Figure 1 for Multi-Environment Meta-Learning in Stochastic Linear Bandits

* IEEE International Symposium on Information Theory (ISIT), 2022

Access Paper or Ask Questions

Efficient Risk-Averse Reinforcement Learning

May 10, 2022
Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor

Figure 1 for Efficient Risk-Averse Reinforcement Learning

Figure 2 for Efficient Risk-Averse Reinforcement Learning

Figure 3 for Efficient Risk-Averse Reinforcement Learning

Figure 4 for Efficient Risk-Averse Reinforcement Learning

Access Paper or Ask Questions