Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Reinforcement Learning. - Tim Pearce; Nicolas Anastassacos; Mohamed Zaki; Andy Neely (CoRR, 2018)

Learning through Probing: a decentralized reinforcement learning architecture for social dilemmas. - Nicolas Anastassacos; Mirco Musolesi (CoRR, 2018)

Towards Decentralized Reinforcement Learning Architectures for Social Dilemmas. - Nicolas Anastassacos; Mirco Musolesi (AAMAS, 2019)

Understanding The Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement Learning. - Nicolas Anastassacos; Steve Hailes; Mirco Musolesi (CoRR, 2019)

Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning. - Nicolas Anastassacos; Stephen Hailes; Mirco Musolesi (AAAI, 2020)

Cooperation and Reputation Dynamics with Reinforcement Learning. - Nicolas Anastassacos; Julian García; Stephen Hailes; Mirco Musolesi (AAMAS, 2021)

Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding. - Jonathan J. Hüser; Judith Gaspers; Thomas Gueudré; Chandana Satya Prakash; Jin Cao; Daniil Sorokin; Quynh Do; Nicolas Anastassacos; Tobias Falke; Turan Gojayev (ACL (industry), 2023)