Co-occurring keywords · papers mentioning both
Papers
Learning the Optimal Recommendation from Explorative Users
AAAI 2022
Learning to Follow Instructions in Text-Based Games
NeurIPS 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making
ICML 2022
Metalearning Linear Bandits by Prior Update
AISTATS 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems
NeurIPS 2022
Multi-Fidelity Best-Arm Identification
NeurIPS 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
ICLR 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem
NeurIPS 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
NeurIPS 2022
Planning with Explanations for Finding Desired Meeting Points on Graphs
AAAI 2022
Pre-Trained Language Models for Interactive Decision-Making
NeurIPS 2022
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
AAAI 2022
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
ICML 2022
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
AAAI 2022
Sequence Model Imitation Learning with Unobserved Contexts
NeurIPS 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems
NeurIPS 2022
Utility Theory for Sequential Decision Making
ICML 2022
Adaptivity in Adaptive Submodularity
COLT 2021
AI for Planning Public Health Interventions
IJCAI 2021
Algorithms for Fairness in Sequential Decision Making
AISTATS 2021
Apparently Irrational Choice as Optimal Sequential Decision Making
AAAI 2021
Automated Dynamic Mechanism Design
NeurIPS 2021
Bandit Convex Optimization in Non-stationary Environments
JMLR 2021
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
AAAI 2021
Bandit Phase Retrieval
NeurIPS 2021