Presentation Session #1 (Video)

João Ribeiro, Cassandro Martinho, Alberto Sardinha and Francisco S. Melo / Making Friends in the Dark: Ad Hoc Teamwork under Partial Observability

Arrasy Rahman, Elliot Fosong, Ignacio Carlucho and Stefano V. Albrecht / Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates

Ram Rachum / Fruit Slots: Experimenting with an Autocurriculum of Implicit Communication in Reinforcement Learning Agents

Elliot Fosong, Muhammad Arrasy Rahman, Ignacio Carlucho and Stefano V. Albrecht / Few Shot Teamwork

Presentation Session #2 (Video)

Dan Kröhling, Omar Chiotti and Ernesto Martínez / Artificial Theory of Mind in Contextual Automated Negotiations

Matthias Gerstgrasser and Sarah Keren / Collaboration Promotes Team Resilience in Multi-Agent Reinforcement

Yair Hanina, Reuth Mirsky, William Macke and Peter Stone / Quantifying Human Rationality in Ad-hoc Teamwork

Kyle Tilbury and Jesse Hoey / Identity and Dynamic Teams in Social Dilemmas

Ignacio Carlucho, Muhammad Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata and Stefano Albrecht / Cooperative Marine Operations via Ad Hoc Teams

Poster session + Highlights on recently accepted papers

Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh / Decision-Theoretic Planning with Communication in Open Multiagent Systems (Accepted to UAI 2022)

Varun Babbar, Umang Bhatt, Adrian Weller / On the Utility of Prediction Sets in Human-AI Teams (Accepted to IJCAI 2022)

Leo Amado, Reuth Mirsky, Felipe Meneguzzi  / Goal Recognition as Reinforcement Learning (Accepted to AAAI 2022)

Thomy Phan, Felix Sommer, Philipp Altmann, Fabian Ritz, Lenz Belzner and Claudia Linnhoff-Popien / Emergent Cooperation from Mutual Acknowledgment Exchange (Accepted to AAMAS 2022)

Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, and Kaiqi Huang / RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning (Accepted to IJCNN 2022)