School of Computing and Information Systems

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Constrained Reinforcement Learning: From Single-Agent Safety to Multi-Agent Coordination

Real-world decision-making systems such as autonomous driving and large-scale ride-pooling must operate under strict safety and resource constraints, yet traditional reinforcement learning (RL) methods often fail to provide such guarantees. This dissertation studies Constrained Reinforcement Learning (CRL) from both single-agent and multi-agent perspectives. In the single-agent setting, it introduces a reward penalty framework that augments the state with cumulative cost and penalizes only constraint-violating trajectories, unifying expected, chance, and CVaR constraints and enabling safe variants of standard RL algorithms such as DQN and SAC.  In the multi-agent setting, motivated by on-demand ride-pooling, the thesis proposes Hierarchical Value Decomposition (HIVES) to model large-scale agent interactions. Building on this framework, it further develops extensions that incorporate flexible pickup and drop-off (FlexiPool) and jointly optimize matching and pricing using reinforcement learning. Together, thes… Subtitle: PhD Dissertation Defense by JIANG Hao. Contact: scisseminars@smu.edu.sg. Speaker Details: , JIANG Hao PhD Candidate School of Computing and Information Systems Singapore Management University, JIANG Hao is a PhD candidate in Computer Science at Singapore Management University. His doctoral research focuses on reinforcement learning and constrained decision-making, with particular emphasis on safety and scalability in sequential decision problems. During his PhD, he worked on both theoretical and applied aspects of constrained reinforcement learning, including algorithm design, large-scale… RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UNjE2M0VPQjQwME5NNjlKTkZBTlMyOUI0My4u. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community. Monday, January 19, 2026, 10:00 AM – 11:00 AM. Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902. For more info visit computing.smu.edu.sg.

Collaborative and Trustworthy AI Workshop

Join us for a day of insightful discussions on building AI systems that are both collaborative and trustworthy, bringing together leading experts to bridge the gap between multi-agent systems, human-AI teaming, and rigorous safety mechanisms. We will explore high-stakes scenarios such as strategic agents optimizing public health interventions and AI co-pilots autonomously negotiating consensus in large-scale collectives. Realizing this vision requires integrating modern generative capabilities with foundational decision-making frameworks, including security games, automated negotiation, and interactive learning. This workshop focuses on the algorithmic breakthroughs needed to transform these powerful models into robust partners capable of planning over long horizons and coordinating safely in the real world. Workshop Website: https://care-ai.smu.edu.sg/ctai-workshop. RSVP: . Reserve a seat: https://forms.office.com/r/EwqN2z2NdT. Type: Information Sessions. Social & Networking. Seminars & Workshops. Subject: Information Technology & Systems. Audience: Academic Community. Current Student. SMU Faculty & Staff. Tuesday, January 20, 2026, 2:15 PM – 6:00 PM. SMU Administration Building, Level 5, Seminar Room 5-1. For more info visit computing.smu.edu.sg.

SMU Doctor of Engineering (EngD) Virtual Information Session

Infosessions . RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/engdis0126. Type: Information Sessions. Webinar & Online Learning. Subject: Business. Leadership. Operations Management. Organisational Behaviour. Strategic Management. Audience: Professionals. Prospective Student. Thursday, January 22, 2026, 7:00 PM – 8:00 PM. Virtual via Zoom Details will be provided via email upon registration.

MITB Coffee Session (Singapore)

Public Events RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbcs0126. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. Innovation & Entrepreneurship. Information Technology & Systems. International. Leadership. Learning & Professional Development. Strategic Management. Audience: Public. Professionals. Prospective Student. Wednesday, January 28, 2026, 7:00 PM – 8:00 PM. In-Campus SMU School of Computing and Information Systems Limited seats available! Complimentary Starbucks on us!