Alexandre Galashov

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, Machine Learning and Algorithms, Neural Networks and Applications

Most-Cited Works

• → Neural probabilistic motor primitives for humanoid control(2018)89 cited
• → Meta reinforcement learning as task inference(2019)63 cited
• → Task Agnostic Continual Learning via Meta Learning(2019)57 cited
• → Information asymmetry in KL-regularized RL(2019)24 cited
• → Exploiting Hierarchy for Learning and Transfer in KL-regularized RL(2019)20 cited
• → Behavior Priors for Efficient Reinforcement Learning(2020)14 cited
• → Learning Dexterous Manipulation from Suboptimal Experts(2020)12 cited
• → Meta-Learning surrogate models for sequential decision making(2019)10 cited
• → Game Plan: What AI can do for Football, and What Football can do for AI(2021)10 cited
• → Temporal Difference Uncertainties as a Signal for Exploration(2020)7 cited