- Shayegan Omidshafiei, Jason Pazis, Christopher Amato and Jonathan How. Decentralized Multitask Multiagent Reinforcement Learning.
- Yanlin Han and Piotr Gmytrasiewicz. Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs.
- Alexander Peysakhovich and Adam Lerer. Towards AI that can solve social dilemmas.
- Sam Ganzfried and Qinyung Sun. Bayesian Opponent Exploitation in Imperfect-Information Games.
- Richard Klima, Karl Tuyls and Frans Oliehoek. Model-based Reinforcement Learning under Periodical Observability.
- Piotr Gmytrasiewicz, George Moe and Adolfo Moreno. Interactive Agent that Understands the User.
- Richard Everett and Stephen Roberts. Opponent Modelling of Non-Stationary Agents with Deep Reinforcement Learning.
- Bill Squires. Toward LfD Training of Heterogeneous Swarm Behaviors.
- Panayiotis Danassis and Boi Faltings. Learning in Ad-hoc Anti-coordination Scenarios.
- Magnus Boman, Magnus Sahlgren, Olof Görnerup and Daniel Gillblad. Learning Machines.