conftrace_

batch learning

30 papers

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Co-occurring keywords

online learning (1777) reinforcement learning (4352) batch reinforcement learning (32) off-policy learning (228) regret bound (1926) imitation learning (744) offline reinforcement learning (492) learning theory (519) linear function approximation (101) policy improvement (67)

Papers

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Smoothed Online Classification can be Harder than Batch Classification NIPS 2024
Linear Regression using Heterogeneous Data Batches NIPS 2024
Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024
Strategic Classification with Unknown User Manipulations ICML 2023
BASiS: Batch Aligned Spectral Embedding Space CVPR 2023
On the Learnability of Multilabel Ranking NIPS 2023
Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NIPS 2021
Design of Experiments for Stochastic Contextual Linear Bandits NIPS 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation CORL 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL ICML 2021
A General Method for Robust Learning from Batches NIPS 2020
Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020
Inference for Batched Bandits NIPS 2020
Optimal Robust Learning of Discrete Distributions from Batches ICML 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020
Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020
Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019
Off-Policy Deep Reinforcement Learning without Exploration ICML 2019
Batched Multi-armed Bandits Problem NIPS 2019
Exponentially Weighted Imitation Learning for Batched Historical Data NIPS 2018
KELP: a Kernel-based Learning Platform JMLR 2018
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017