Jacob Rafati

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 9

Top Topics

Hierarchical Reinforcement Learning

Supervised Methods

Optimization Methods

Top Venues

University of California, Merced, USA (PHD)

Education History

University of California, Merced, USA

PHD

Publications

Jacob Rafati, Roummel F. Marcia
Quasi-Newton Optimization Methods For Deep Learning Applications. CoRR (2019)
Jacob Rafati, David C. Noelle
Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning. KEG@AAAI (2019)
Jacob Rafati, David C. Noelle
Learning sparse representations in reinforcement learning. CoRR (2019)
Jacob Rafati, David C. Noelle
Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning. CoRR (2019)
Jacob Rafati, David C. Noelle
Learning Representations in Model-Free Hierarchical Reinforcement Learning. AAAI (2019)
Jacob Rafati, Roummel F. Marcia
Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning. ICMLA (2018)
Jacob Rafati, Omar DeGuchy, Roummel F. Marcia
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. EUSIPCO (2018)
Jacob Rafati, David C. Noelle
Learning Representations in Model-Free Hierarchical Reinforcement Learning. CoRR (2018)
Jacob Rafati, Roummel F. Marcia
Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games. CoRR (2018)
Jacob Rafati, David C. Noelle
Lateral Inhibition Overcomes Limits of Temporal Difference Learning. CogSci (2015)