Jakob Foerster
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Artificial Intelligence in Games, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Counterfactual Multi-Agent Policy Gradients(2018)1,586 cited
- → Learning to Communicate with Deep Multi-Agent Reinforcement Learning(2016)867 cited
- → QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent\n Reinforcement Learning(2018)475 cited
- Learning to Communicate with Deep Multi−Agent Reinforcement Learning(2016)
- → Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning(2020)429 cited
- → Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning(2017)333 cited
- → Three-dimensional head-direction coding in the bat brain(2014)307 cited
- The StarCraft Multi-Agent Challenge