Person: Mohammad Ghavamzadeh

DBLP: Ghavamzadeh:Mohammad

Contributed to:

2015

2013

2013

2012

2011

2010

2007

2003

2002

2001

Wrote 14 papers:

ICML-2015-ThomasTG #policy

High Confidence Policy Improvement (PST, GT, MG), pp. 2380–2388.

ICML-c1-2013-KadriGP #approach #kernel #learning

A Generalized Kernel Approach to Structured Output Learning (HK, MG, PP), pp. 471–479.

ICML-c3-2013-PiresSG #bound #classification #multi

Cost-sensitive Multiclass Classification Risk Bounds (BAP, CS, MG), pp. 1391–1399.

ICML-2012-GeistSLG #approach #difference #learning

A Dantzig Selector Approach to Temporal Difference Learning (MG, BS, AL, MG), p. 49.

ICML-2012-ScherrerGGG #approximate #policy

Approximate Modified Policy Iteration (BS, VG, MG, MG), p. 245.

ICML-2011-GabillonLGS #classification #policy

Classification-based Policy Iteration with a Critic (VG, AL, MG, BS), pp. 1049–1056.

ICML-2011-GhavamzadehLMH #analysis

Finite-Sample Analysis of Lasso-TD (MG, AL, RM, MWH), pp. 1177–1184.

ICML-2010-LazaricG #learning #multi

Bayesian Multi-Task Reinforcement Learning (AL, MG), pp. 599–606.

ICML-2010-LazaricGM #algorithm #analysis #classification #policy

Analysis of a Classification-based Policy Iteration Algorithm (AL, MG, RM), pp. 607–614.

ICML-2010-LazaricGM10a #analysis

Finite-Sample Analysis of LSTD (AL, MG, RM), pp. 615–622.

ICML-2007-GhavamzadehE #algorithm

Bayesian actor-critic algorithms (MG, YE), pp. 297–304.

ICML-2003-GhavamzadehM #algorithm #policy

Hierarchical Policy Gradient Algorithms (MG, SM), pp. 226–233.

ICML-2002-GhavamzadehM #learning

Hierarchically Optimal Average Reward Reinforcement Learning (MG, SM), pp. 195–202.

ICML-2001-GhavamzadehM #learning

Continuous-Time Hierarchical Reinforcement Learning (MG, SM), pp. 186–193.