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ORCIDJacob Rafati
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2010 – 2019
- 2019
[b1]Jacob Rafati:
Learning Representations in Reinforcement Learning. University of California, Merced, USA, 2019- [c5]Jacob Rafati, David C. Noelle:
Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning. KEG@AAAI 2019: 17-25 - [c4]Jacob Rafati, David C. Noelle:
Learning Representations in Model-Free Hierarchical Reinforcement Learning. AAAI 2019: 10009-10010 - [i5]Jacob Rafati, David C. Noelle:
Learning sparse representations in reinforcement learning. CoRR abs/1909.01575 (2019) - [i4]Jacob Rafati, Roummel F. Marcia:
Quasi-Newton Optimization Methods For Deep Learning Applications. CoRR abs/1909.01994 (2019) - [i3]Jacob Rafati, David C. Noelle:
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning. CoRR abs/1911.10164 (2019) - 2018
- [c3]Jacob Rafati, Omar DeGuchy, Roummel F. Marcia:
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. EUSIPCO 2018: 2015-2019 - [c2]Jacob Rafati, Roummel F. Marcia:
Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. ICMLA 2018: 501-508 - [i2]Jacob Rafati, David C. Noelle:
Learning Representations in Model-Free Hierarchical Reinforcement Learning. CoRR abs/1810.10096 (2018) - [i1]Jacob Rafati, Roummel F. Marcia:
Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games. CoRR abs/1811.02693 (2018) - 2015
- [c1]Jacob Rafati, David C. Noelle:
Lateral Inhibition Overcomes Limits of Temporal Difference Learning. CogSci 2015
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