sample-efficient learning

Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022 A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer ALT 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Continuous-time Model-based Reinforcement Learning ICML 2021 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021 Mastering Atari Games with Limited Data NeurIPS 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021 Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ACL 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NeurIPS 2021 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Cost-Effective Interactive Attention Learning with Neural Attention Processes ICML 2020 Food and Liquid Sensing in Practical Environments using RFIDs NSDI 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Regularizing Model-Based Planning with Energy-Based Models CoRL 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Unsupervised Learning of Object Keypoints for Perception and Control NeurIPS 2019 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding EMNLP 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017 Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals CoRL 2017 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016 Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014