Galashov, Alexandre
- Accelerated Diffusion Models via Speculative Sampling
2025/01/09 by Valentin De Bortoli, De Bortoli, Valentin, Alexandre Galashov +5 · 4 voices · 9 citations
Mathematics · #Statistical Methods and Inference #cs.LG #stat.ML
- Neural probabilistic motor primitives for humanoid control
2018/11/28 by Merel, Josh, Hasenclever, Leonard, Galashov, Alexandre +5 · 8 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Meta reinforcement learning as task inference
2019/05/15 by Jan Humplik, Humplik, Jan, Alexandre Galashov +9 · 15 citations
Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
- Behavior Priors for Efficient Reinforcement Learning
2020/10/27 by Dhruva Tirumala, Alexandre Galashov, Tirumala, Dhruva +19 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Reinforcement Learning in Robotics
- Distributional Diffusion Models with Scoring Rules
2025/02/04 by Valentin De Bortoli, Alexandre Galashov, De Bortoli, Valentin +12 · 3 voices · 6 citations
Social Sciences · #Insurance, Mortality, Demography, Risk Management #cs.LG #stat.ML
- Game Plan: What AI can do for Football, and What Football can do for AI
2020/11/18 by Tuyls, Karl, Omidshafiei, Shayegan, Muller, Paul +33 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
- Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
2019/03/18 by Dhruva Tirumala, Tirumala, Dhruva, Hyeonwoo Noh +15 · 4 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- Temporal Difference Uncertainties as a Signal for Exploration
2020/10/05 by Sebastian Flennerhag, Jane X. Wang, Flennerhag, Sebastian +17 · 2 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
- Information asymmetry in KL-regularized RL
2019/05/03 by Alexandre Galashov, Siddhant M. Jayakumar, Galashov, Alexandre +17 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Reinforcement Learning in Robotics
- Task Agnostic Continual Learning via Meta Learning
2019/06/12 by He, Xu, Sygnowski, Jakub, Galashov, Alexandre +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Learning Dexterous Manipulation from Suboptimal Experts
2020/10/16 by Jeong, Rae, Springenberg, Jost Tobias, Kay, Jackie +5 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Robotics (cs.RO)
- Deep MMD Gradient Flow without adversarial training
2024/05/10 by Alexandre Galashov, Galashov, Alexandre, Valentin De Bortoli +3 · 2 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Plasma and Flow Control in Aerodynamics