Class Schedule Listing |
Fall 2025 Semester
Jan 18, 2026 |
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| Seminar in Artificial Intelligence - 18723 - CS 7170 - 01 | ||||||||||||||||
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AI for modeling complex systems in biology; Description: The course offers an overview and recent advances in AI for complex systems modeling, with a particular emphasis on life sciences. We will explore research ranging from mathematical modeling, network modeling and classical machine learning approaches to foundation models and transformer architectures applied to multi-scale biological data. The course begins with lectures to establish foundational knowledge and outline current research in the field. This will be followed by student presentations on recent literature and conclude with student project presentations. Grading will be based on class participation, discussions and the quality of presentations.
Associated Term: Fall 2025 Semester Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science Boston Campus Seminar Schedule Type Traditional Instructional Method 4.000 Credits View Catalog Entry
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| Seminar in Artificial Intelligence - 18724 - CS 7170 - 02 | ||||||||||||||||
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Title: Seminar on Multi-Agent Reinforcement Learning
Description: Multi-agent reinforcement learning (MARL) has exploded in popularity in recent years. This seminar will cover the fundamentals of this field such as the standard training regimes (centralized training and execution (CTE), centralized training for decentralized execution (CTDE), and decentralized training and execution (DTE)) and the standard methods (e.g., value factorization approaches such as VDN, QMIX, and QPLEX and centralized critic methods including MADDPG, COMA, and MAPPO). We will discuss the state-of-the-art methods as well as subfields such as exploration, communication, zero-shot generalization, LLM-based methods, and hierarchy. We will mostly focus on cooperative MARL (where all the agents share the same reward) but will also discuss mixed/competitive settings. It is expected that students have at least some familiarity with (single-agent) reinforcement learning. The first part of the class will be based on the (in development) text: https://arxiv.org/abs/2405.06161
Associated Term: Fall 2025 Semester Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science Boston Campus Seminar Schedule Type Traditional Instructional Method 4.000 Credits View Catalog Entry
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| Seminar in Artificial Intelligence - 21724 - CS 7170 - 03 | ||||||||||||||||
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Multilingual Language Modeling
Description: This seminar provides an overview of multilingual NLP in the era of generative modeling. We will discuss the fundamentals of multilingual language processing as well as recent advances (and bottlenecks) in the field due to LLMs. The course will involve lectures introducing topics in multilingual NLP, student-led paper discussions, and a final project proposal. It is expected that students have at least some familiarity with machine learning methods and natural language processing.
Associated Term: Fall 2025 Semester Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science Boston Campus Seminar Schedule Type Traditional Instructional Method 4.000 Credits View Catalog Entry
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