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 Universal 2-state n-action Adaptive Management Solver AAAI 2021
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Quantum algorithms for reinforcement learning with a generative model ICML 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NIPS 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration IJCAI 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NIPS 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NIPS 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NIPS 2021
A Provably Efficient Sample Collection Strategy for Reinforcement Learning NIPS 2021
Online Robust Reinforcement Learning with Model Uncertainty NIPS 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism NIPS 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021
Lipschitz Lifelong Reinforcement Learning AAAI 2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration ICCV 2021
Navigating to the Best Policy in Markov Decision Processes NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021
Exact Reduction of Huge Action Spaces in General Reinforcement Learning AAAI 2021