Buckman, Jacob

1. DeepMDP: Learning Continuous Latent Space Models for Representation Learning
   2019/06/06 by Gelada, Carles, Kumar, Saurabh, Buckman, Jacob +2 · 15 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. When does return-conditioned supervised learning work for offline reinforcement learning?
   2022/06/02 by David Brandfonbrener, Alberto Bietti, Brandfonbrener, David +7 · 7 citations
   Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Data Stream Mining Techniques
3. The Importance of Pessimism in Fixed-Dataset Policy Optimization
   2020/09/15 by Jacob Buckman, Carles Gelada, Buckman, Jacob +3 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
4. Neural Regression For Scale-Varying Targets
   2022/11/14 by Adam Khakhar, Khakhar, Adam, Jacob Buckman +1 · 1 citation
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification
5. Scaling Context Requires Rethinking Attention
   2025/07/06 by Gelada, Carles, Buckman, Jacob, Zhang, Sean +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)