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Offline RL

725 directly classified papers

Papers per year

Papers

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025
CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning ICCV 2025
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer IJCAI 2025
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values EMNLP 2025
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025
Cross-Validated Off-Policy Evaluation AAAI 2025
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025
Are Expressive Models Truly Necessary for Offline RL? AAAI 2025
Positivity-free Policy Learning with Observational Data AISTATS 2024
Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
Zero-Shot Reinforcement Learning from Low Quality Data NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024