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Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
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Papers (including subtopics)

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
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities AISTATS 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning AISTATS 2021