publications reversed chronological order.


  1. TMLR
    Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
    Christianos Filippos, Papoudakis Georgios, and Albrecht Stefano V.
    Transactions on Machine Learning Research, 2023
  2. AAMAS (ws)
    Revisiting the Gumbel-Softmax in MADDPG
    Tilbury Callum Rhys, Christianos Filippos, and Albrecht Stefano
    In Adaptive and Learning Agents Workshop (ALA), 2023
  3. AAMAS (ws)
    SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning
    Michalski Adam, Christianos Filippos, and Albrecht Stefano
    In Multiagent Sequential Decision Making under Uncertainty Workshop (MSDM), 2023
  4. ICRA
    Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
    Christianos Filippos, Karkus Peter, Ivanovic Boris, Albrecht Stefano, and Pavone Marco
    In IEEE International Conference on Robotics and Automation, 2023


  1. AAMAS
    Decoupling Exploration and Exploitation in Reinforcement Learning
    Schäfer Lukas, Christianos Filippos, Hanna Josiah, and Albrecht Stefano
    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


  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
    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
    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
    In Proceedings of the 38th International Conference on Machine Learning, 2021


  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


  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


  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