Victor Bapst

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Theoretical and Computational Physics, Material Dynamics and Properties, Multimodal Machine Learning Applications, Explainable Artificial Intelligence (XAI)

Most-Cited Works

• → Relational inductive biases, deep learning, and graph networks(2018)2,391 cited
• → Unveiling the predictive power of static structure in glassy systems(2020)328 cited
• → Sample Efficient Actor-Critic with Experience Replay(2016)221 cited
• → Distral: Robust Multitask Reinforcement Learning(2017)183 cited
• → Relational Deep Reinforcement Learning(2018)159 cited
• Deep reinforcement learning with relational inductive biases(2018)
• → Hamiltonian Graph Networks with ODE Integrators(2019)75 cited
• → Anomalous Softening ofHe4Crystals(2010)67 cited
• → Relational inductive bias for physical construction in humans and machines(2018)62 cited
• Generating Interpretable Images with Controllable Structure(2017)