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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
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48
875
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Papers (including subtopics)

Learning to Switch Optimizers for Quadratic Programming ACML 2021
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning ACML 2021
On the Effect of Auxiliary Tasks on Representation Dynamics AISTATS 2021
Regularized Policies are Reward Robust AISTATS 2021
Fourier Bases for Solving Permutation Puzzles AISTATS 2021
Robust Imitation Learning from Noisy Demonstrations AISTATS 2021
Online Sparse Reinforcement Learning AISTATS 2021
A Contraction Approach to Model-based Reinforcement Learning AISTATS 2021
Adaptive Approximate Policy Iteration AISTATS 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL AISTATS 2021
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021
Provable Hierarchical Imitation Learning via EM AISTATS 2021
Optimizing Percentile Criterion using Robust MDPs AISTATS 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021
Algorithms for Fairness in Sequential Decision Making AISTATS 2021
Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021
Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021
Tractable contextual bandits beyond realizability AISTATS 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Q-learning with Logarithmic Regret AISTATS 2021
Minimax Model Learning AISTATS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021