DAI-25 Conference Schedule

Time	21 Fri	22 Sat	23 Sun	24 Mon
08.00-08.30	Arrival	Arrival	Arrival
08.30-08.45
08.45-09.00	Workshop/Tutorial
09.00-09.30		Workshop/Tutorial	Keynote - Elena Simperl (Great Hall)	Keynote - Shimon Whiteson (Great Hall)
09.30-10.00
10.00-10.30			Coffee break (Great Hall)	Coffee break (Great Hall)
10.30-10.45	Coffee break (Council Room)		Technical session: Fundamental Methods for DAI (Great Hall)	Technical session: Game Theory (Great Hall)
10.45-11.00
11.00-11.15	Workshop/Tutorial	Workshop/Tutorial
11.15-11.30
11.30-11.45			Break	Break
11.45-12.00			Technical session: Applications and LLMs (Great Hall)	Technical session: Multiagent Reinforcement Learning (Great Hall)
12:00-12:15
12.15-12.30
12.30-12.45	Lunch (Great Hall)	Lunch (Council Room)
12.45-13.00			Lunch (Great Hall)
13:00-13:15
13.15-13.30	Workshop/Tutorial		Lunch + poster (Great Hall)	Panel Discussion (Great Hall)
13.30-13.45		Workshop/Tutorial
13.45-14.00			Poster session (Great Hall)
14.00-14.30				Poster session (Great Hall)
14.30-15.00			Keynote - David Silver (Great Hall)
15.00-15.15
15.15-15.30	Coffee break (Great Hall)
15.30-16.00	Keynote - Manuela Veloso (Great Hall)	Coffee break (Council Room)	Coffee break (Great Hall)
16:00-16:15		Workshop/Tutorial	Invited Papers: Game Theory and Cooperation 1 (Great Hall)	Invited Papers: Game Theory and Cooperation 2 (Great Hall)
16.15-16.30
16.30-16.45	Opening Remarks
16.45-17.00			Break	Break
17.00-17.15	Opening reception		Invited Papers: Safety in DAI (Great Hall)	Invited Papers: Novel DAI Approaches (Great Hall)
17.15-17.30
17.30-17.45
17.45-18.00
18.00-18.30
18.30-19.00

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Workshops & Tutorials Schedule (21–22)

Time	Nov 21 (Fri)			Nov 22 (Sat)
08.00-08.30	Arrival and registration			Arrival and registration
08.30-08.45
08.45-09.00	WS6: AI Agent and Embodied Intelligence - Location KIN 227 (River Room)	T1: LLM-based Multi-Agent Systems: Foundations and Practice (LLM-MAS) - Location KIN 214 (K 2.29 Council Room)	T2: AReaL: efficient and scalable RL training for LLMs and Agents - Location KIN G21 (K 0.31)
09.00-09.30				WS2: LLM-Based Agents with Reinforcement Learning - Location KIN 214 (K 2.29 Council Room)	WS1: Bridging Disciplines in Distributed AI (BDDAI) - Location KIN G21 (K 0.31)	WS5: LLMs in Games: Reasoning, Strategy, and Distributed Intelligence - Location KIN 227 (River Room)
09.30-10.00
10.00-10.30
10.30-11.00	Coffee break (Council Room)			Coffee break (Council Room)
11.00-11.30	WS6: AI Agent and Embodied Intelligence - Location KIN 227 (River Room)	WS4: LLM-based Multi-Agent Systems: Towards Responsible, Reliable, and Scalable Agentic Systems (LaMAS) - Location KIN 214 (K 2.29 Council Room)	T3: Embodied Intelligence: Building Robots that Learn, Plan, and Connect - Location KIN G21 (K 0.31)	WS2: LLM-Based Agents with Reinforcement Learning - Location KIN 214 (K 2.29 Council Room)	WS1: Bridging Disciplines in Distributed AI (BDDAI) - Location KIN G21 (K 0.31)	WS5: LLMs in Games: Reasoning, Strategy, and Distributed Intelligence - Location KIN 227 (River Room)
11.30-12.00
12.00-12.30
12.30-13.15	Lunch (Great Hall)			Lunch (Council Room)
13.15-13.30	WS6: AI Agent and Embodied Intelligence - Location KIN 227 (River Room)	WS4: LLM-based Multi-Agent Systems: Towards Responsible, Reliable, and Scalable Agentic Systems (LaMAS) - Location KIN 214 (K 2.29 Council Room)	T4: Bandit Learning in Matching Markets - Location KIN G33 (Great Hall)
13.30-14.00				WS2: LLM-Based Agents with Reinforcement Learning - Location KIN 214 (K 2.29 Council Room)	WS1: Bridging Disciplines in Distributed AI (BDDAI) - Location KIN G21 (K 0.31)	WS3: Human-Centric Agentic Web (HAW) - Location KIN 227 (River Room)
14.00-14.30
14.30-15.15
15.15-15.30	Coffee break (Great Hall)
15.30-16.00	Keynote - Manuela Veloso(Great Hall)			Coffee break (Council Room)
16.00-16.30					WS7: Multi-Agent Security: Limits, Evals, Applications (MASEC) - Location KIN G21 (K 0.31)	WS3: Human-Centric Agentic Web (HAW) - Location KIN 227 (River Room)
16.30-17.00	Opening Remarks
17.00-17.30	Opening reception
17.30-18.00
18.00-18.30
18.30-19.00