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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ICML 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Universal Morphology Control via Contextual Modulation ICML 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models ICML 2023
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
Fast Rates for Maximum Entropy Exploration ICML 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023
VA-learning as a more efficient alternative to Q-learning ICML 2023
Towards a better understanding of representation dynamics under TD-learning ICML 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation AISTATS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022