Public profile
Research areas
Artificial Intelligence (AI), Robotics, Human-Robot Interaction, Machine Learning, Human-in-the-Loop AI
Computer Science
Vaibhav Unhelkar
Assistant Professor of Computer Science
Member, Ken Kennedy Institute
Average rating
3.5
16 temporary mock ratings
Difficulty
3.7
course-linked average
Courses
6
in seeded sections
Courses taught
COMP 390
Computer Science Projects
Theoretical and experimental investigations under staff direction. Repeatable for Credit.
Computer ScienceNone1-3 credits
4.26.2hAliakbarpour, Maryam, Chen, Hanjie, Chen, Ken, Cox, Alan L., Cutler, Scott, Ferreira Flores, Rodrigo, Hang, Kaiyu, Johnson, Dave, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Myers, Risa, Nakhleh, Luay, Ng, T. S. Eugene, Patel, Tirthak, Sano, Akane, Schreib, Rebecca, Sedlazeck, Fritz, Subramanian, Devika, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Veeraraghavan, Ashok, Warren, Joe D., Wong, Stephen
COMP 442
Reinforcement Learning
This course introduces students to reinforcement learning (RL), a general and impactful machine learning paradigm for solving sequential decision-making problems and designing autonomous agents. The course will cover both classical and recent algorithms for reinforcement learning (including deep RL) and imitation learning (including inverse RL). Through the assignments and final project, students will get hands-on experience in applying reinforcement learning algorithms to solve problems inspired by real-world applications. The course will conclude with an overview of open problems and ongoing research in reinforcement learning. Cross-list: COMP 552.
Computer ScienceNone3 credits
4.29.7hUnhelkar, Vaibhav
COMP 490
Computer Science Projects
Theoretical and experimental investigation under staff direction. Repeatable for Credit.
Computer ScienceNone1-4 credits
4.06.7hAllen, Genevera, Byrne, Michael, Cox, Alan L., Ferreira Flores, Rodrigo, Goldman, Ron, Hang, Kaiyu, Joyner, Mack, Kyrillidis, Tasos, Mamouras, Konstantinos, Myers, Risa, Patel, Ankit, Schreib, Rebecca, Shrivastava, Anshumali, Tunnell, Chris, Unhelkar, Vaibhav, Wang, Yuke, Xing, Jiarong, Yao, Vicky
COMP 552
Reinforcement Learning
This course introduces students to reinforcement learning (RL), a general and impactful machine learning paradigm for solving sequential decision-making problems and designing autonomous agents. The course will cover both classical and recent algorithms for reinforcement learning (including deep RL) and imitation learning (including inverse RL). Through the assignments and final project, students will get hands-on experience in applying reinforcement learning algorithms to solve problems inspired by real-world applications. The course will conclude with an overview of open problems and ongoing research in reinforcement learning. Cross-list: COMP 442. Recommended Prerequisite(s): COMP 330 or COMP 440 or ELEC 478 or COMP 540
Computer ScienceNone3 credits
3.110.7hUnhelkar, Vaibhav
COMP 590
Computer Science Projects
Advanced theoretical and experimental investigations under staff direction. The student must have a full-time internship to receive 4 credits for this course. Repeatable for Credit.
Computer ScienceNone1-4 credits
3.45.7hAliakbarpour, Maryam, Baraniuk, Richard G, Chen, Hanjie, Chia, Nai-Hui, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Jermaine, Christopher, Joyner, Mack, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Myers, Risa, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Rixner, Scott, Shrivastava, Anshumali, Simar, Ray, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Wang, Yuke, Warren, Joe D., Wei, Chen, Wong, Stephen, Xing, Jiarong, Yao, Vicky
COMP 800
Graduate Research
Repeatable for Credit.
Computer ScienceNone1-15 credits
4.28.5hAliakbarpour, Maryam, Braverman, Vladimir, Chen, Hanjie, Chia, Nai-Hui, Cooper, Keith, Cox, Alan L., Fallah, Alireza, Goldman, Ron, Hang, Kaiyu, Hu, Ben, Jermaine, Christopher, Johnson, Dave, Kavraki, Lydia, Kyrillidis, Tasos, Lopes da Silva, Arlei, Mamouras, Konstantinos, Mellor-Crummey, John, Nakhleh, Luay, Ng, T. S. Eugene, Ordonez Roman, Vicente, Patel, Ankit, Patel, Tirthak, Phillips, George, Rixner, Scott, Shrivastava, Anshumali, Subramanian, Devika, Treangen, Todd, Unhelkar, Vaibhav, Vardi, Moshe, Varman, Peter, Wallach, Dan S., Wang, Yuke, Warren, Joe D., Wei, Chen, Xing, Jiarong, Yao, Vicky