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