Jacob Rafati

According to our database, Jacob Rafati authored at least 10 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Learning Representations in Reinforcement Learning.

Jacob Rafati

PhD thesis, 2019

Efficient Exploration through Intrinsic Motivation Learning for Unsupervised Subgoal Discovery in Model-Free Hierarchical Reinforcement Learning.

Jacob Rafati, David C. Noelle

CoRR, 2019

Quasi-Newton Optimization Methods For Deep Learning Applications.

Jacob Rafati, Roummel F. Marcia

CoRR, 2019

Learning sparse representations in reinforcement learning.

Jacob Rafati, David C. Noelle

CoRR, 2019

Learning Representations in Model-Free Hierarchical Reinforcement Learning.

Jacob Rafati, David C. Noelle

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning.

Jacob Rafati, David C. Noelle

Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, 2019

2018

Quasi-Newton Optimization in Deep Q-Learning for Playing ATARI Games.

Jacob Rafati, Roummel F. Marcia

CoRR, 2018

Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning.

Jacob Rafati, Roummel F. Marcia

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques.

Jacob Rafati, Omar DeGuchy, Roummel F. Marcia

Proceedings of the 26th European Signal Processing Conference, 2018

2015

Lateral Inhibition Overcomes Limits of Temporal Difference Learning.

Jacob Rafati, David C. Noelle

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015