Wendelin Böhmer

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, Evolutionary Algorithms and Applications, Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference

Most-Cited Works

• → FACMAC: Factored Multi-Agent Centralised Policy Gradients(2020)106 cited
• → Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations(2015)51 cited
• → Deep Coordination Graphs(2019)42 cited
• Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control(2020)
• → Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis(2012)23 cited
• Construction of approximation spaces for reinforcement learning(2013)
• → Regularized Sparse Kernel Slow Feature Analysis(2011)16 cited
• AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning(2020)
• → Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning(2020)15 cited
• → Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning(2019)15 cited