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Offline RL

725 directly classified papers

Papers per year

Papers

Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022
Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NIPS 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022
Supervised Off-Policy Ranking ICML 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NIPS 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning NIPS 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NIPS 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning NIPS 2022
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity JMLR 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022
Truncated Emphatic Temporal Difference Methods for Prediction and Control JMLR 2022
Online Decision Transformer ICML 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models NIPS 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning ICML 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NIPS 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NIPS 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations ICML 2022