Collaborator(s): Ian GempAccepted at: Autonomous Agents and Multiagent Systems (AAMAS) 2025at The 16th Workshop on Optimization and Learning in Multiagent SystemsTalk(s): AAMAS 2025 OptLeanMAS-25Paper: linkRepository: link Cooperative MARL research has developed techniques to effectively optimize collective return in simulated environments…
Accepted at: International Conference on Learning Representations (ICLR) 2025 at the Tackling Climate Change with Machine Learning (CCAI) workshop Autonomous Agents and Multiagent Systems (AAMAS) 2025 at the Workshop on Autonomous Agents for Social Good Talk(s): at the Tackling Climate…
Collaborator(s): Tyson Hosmer, Sergio Mutis, Octavian Gheorghiu, Ziming He and Baris Erdincer Accepted at: International Journal of Architectural Computing (IJAC) Paper: link This research is rooted in the transdisciplinary field of cybernetics, significantly advanced in the 1960s and 1970s by…
Accepted at: International Conference on Learning Representations (ICLR) 2023 at the Tackling Climate Change with Machine Learning Workshop Paper: link Demo: WebApp Between 1950 and 2019, plastic production increased to 460 million tonnes yearly (Ritchie & Roser, 2018). About 12…
Collaborator(s): Tyson Hosmer, Sergio Mutis, Eric Hughes, Ziming He, Octavian Gheorghiu and Baris Erdincer. Accepted at: ACADIA 2023 Paper: link Our global population is estimated to increase to 11.2billion by the year 2100, requiring us to build 2 billion new…
Accepted at: NeurIPS 2022 at the Deep Reinforcement Learning Workshop Paper: link Demo: WebApp The success of our society is based on the human ability to communicate motives. Once intentions overlap amongst concerned parties, they may decide to join forces…
Accepted at: International Conference on Learning Representations (ICLR) 2023 at the Gamification and Multiagent Solutions Workshop Paper: link Demo: WebApp Most real-world domains can be formulated as multi-agent (MA) systems. Intentionality sharing agents can solve more complex tasks by collaborating,…
This is a sneak peek! I have been inspired by projects like Hide and Seek by OpenAI as well as Capture the Flag by DeepMind, specifically the team based competitive aspect in both projects. In the future I want to…
Accepted at: Neural Information Processing Systems (NeurIPS) 2021 at the Cooperative AI Workshop Paper: link Demo: WebApp Multi-Agent Collaboration has been a developing interest of mine. Especially how agents could potentially communicate with each other. Could they develop their own…
Path finding, footfall analysis and natural path analysis have been important analysis methods for urban designers. Navigability, visual connection between high-frequency pedestrian paths and points of interests, such as shops, amusement, restaurants, but also open plazas and enclosed alleys are…