publications

...in reversed chronological order.

2022

  1. AAMAS
    Decoupling Exploration and Exploitation in Reinforcement Learning
    Schäfer Lukas, Christianos Filippos, Hanna Josiah, and Albrecht Stefano V.
    In International Conference on Autonomous Agents and Multiagent Systems, 2022
  2. AIC
    Deep Reinforcement Learning for Multi-Agent Interaction
    Ahmed Ibrahim H., Brewitt Cillian, Carlucho Ignacio, Christianos Filippos, Dunion Mhairi, Fosong Elliot, Garcin Samuel, Guo Shangmin, Gyevnar Balint, McInroe Trevor, Papoudakis Georgios, Rahman Arrasy, Schäfer Lukas, Tamborski Massimiliano, Vecchio Giuseppe, Wang Cheng, and Albrecht Stefano V.
    AI Communications, Special Issue on Multi-Agent Systems Research in the UK, 2022

2021

  1. ICML
    Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
    Christianos Filippos, Papoudakis Georgios, Rahman Arrasy, and Albrecht Stefano
    In Proceedings of the 38th International Conference on Machine Learning, 2021
  2. NeurIPS
    Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
    Papoudakis Georgios *, Christianos Filippos *, Schäfer Lukas, and Albrecht Stefano V.
    In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021
  3. NeurIPS
    Agent Modelling under Partial Observability for Deep Reinforcement Learning
    Papoudakis Georgios, Christianos Filippos, and Albrecht Stefano V.
    In Advances in Neural Information Processing Systems, 2021
  4. ICML
    Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
    Rahman Arrasy, Hopner Niklas, Christianos Filippos, and Albrecht Stefano V.
    In Proceedings of the 38th International Conference on Machine Learning, 2021

2020

  1. NeurIPS
    Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
    Christianos Filippos, Schäfer Lukas, and Albrecht Stefano
    In Advances in Neural Information Processing Systems, 2020
  2. ABER
    A Low-Complexity Non-Intrusive Approach to Predict the Energy Demand of Buildings over Short-Term Horizons
    Panagopoulos Athanasios Aris, Christianos Filippos, Katsigiannis Michail, Mykoniatis Konstantinos, Pritoni Marco, Panagopoulos Orestis P., Peffer Therese, Chalkiadakis Georgios, Culler David E., Jennings Nicholas R., and Lipman Timothy
    Advances in Building Energy Research, 2020

2017

  1. EUMAS
    Efficient Multi-Criteria Coalition Formation Using Hypergraphs (with Application to the V2G Problem)
    Christianos Filippos, and Chalkiadakis Georgios
    In Multi-Agent Systems and Agreement Technologies, 2017

2016

  1. ECAI
    Employing Hypergraphs for Efficient Coalition Formation with Application to the V2G Problem
    Christianos Filippos, and Chalkiadakis Georgios
    In Proceedings of the Twenty-Second European Conference on Artificial Intelligence, 2016