Co-occurring keywords · papers mentioning both
Papers
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
NeurIPS 2020
Bidding in Smart Grid PDAs: Theory, Analysis and Strategy
AAAI 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CoRL 2020
Collapsing Bandits and Their Application to Public Health Intervention
NeurIPS 2020
Compact task representations as a normative model for higher-order brain activity
NeurIPS 2020
Conservative Exploration in Reinforcement Learning
AISTATS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NeurIPS 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
Domain Adaptive Imitation Learning
ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
ICML 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
JMLR 2020
Efficiently Solving MDPs with Stochastic Mirror Descent
ICML 2020
Efficient Planning in Large MDPs with Weak Linear Function Approximation
NeurIPS 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
CoRL 2020
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
UAI 2020
Generalized Mean Estimation in Monte-Carlo Tree Search
IJCAI 2020
How do fair decisions fare in long-term qualification?
NeurIPS 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
NeurIPS 2020
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition
AAAI 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
NeurIPS 2020
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning
CVPR 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
RSS 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Learning and Solving Regular Decision Processes
IJCAI 2020
Learning the Arrow of Time for Problems in Reinforcement Learning
ICLR 2020