Filippos Christianos

Previously at NVIDIA Research.
I am in the final stages of my PhD in the CDT for Robotics and Autonomous Agents, advised by Stefano Albrecht (University of Edinburgh) and a member of the Autonomous Agents Research Group.
My PhD research is in the area of Multi-Agent Deep Reinforcement Learning. In particular, I study how multiple agents can efficiently explore and learn in environments with sparse rewards.
I am the author and maintainer of the Multi-Robot Warehouse environment for multi-agent RL research. I also developed and maintain the Python version of Level-based Foraging. Our group has been using both environments to develop new and exciting algorithms for MARL. I am the first author of two such algorithms: Shared Experience Actor-Critic (SEAC), and Selective Parameter Sharing (SePS) that have been published in NeurIPS (2020) and ICML (2021) respectively.
Finally, I am a co-author of E-PyMARL, a library for MARL which has been widely used by the community.
Keywords: Machine Learning, Deep Reinforcement Learning (RL), Multi-agent Systems, Exploration in RL.
news
Jan 18, 2023 | ![]() |
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Oct 29, 2022 | Preprints of my two new papers are online! My NVIDIA internship paper on AV occlusions and Pareto Actor-Critic: a new algorithm for MARL. |
Jun 23, 2022 | I joined NVIDIA Research for a three month internship on autonomous vehicles! |
Dec 20, 2021 | ![]() |
Sep 27, 2021 | ![]() |
Jul 29, 2021 | ![]() |
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selected publications
- NeurIPS
- NeurIPSBenchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative TasksIn Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021