conftrace_

markov decision process

790 papers

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Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

A Boosting Approach to Reinforcement Learning NIPS 2022
Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022
Chaining Value Functions for Off-Policy Learning AAAI 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation AAAI 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs NIPS 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NIPS 2022
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure ALT 2022
Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration IJCAI 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
Model updating after interventions paradoxically introduces bias AISTATS 2021
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021
Algorithms for Fairness in Sequential Decision Making AISTATS 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021
Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021
Active Feature Acquisition with Generative Surrogate Models ICML 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021
Exact Reduction of Huge Action Spaces in General Reinforcement Learning AAAI 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NIPS 2021