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offline learning

52 papers

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Co-occurring keywords

offline reinforcement learning (492) imitation learning (744) reinforcement learning (4352) contextual bandit (381) online learning (1777) robot manipulation (262) regret bound (1926) large language model (13587) preference optimization (302) policy optimization (657)

Papers

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation AAAI 2026
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025
MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization ACL 2025
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation AAAI 2025
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor EMNLP 2025
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Contextual Linear Optimization with Bandit Feedback NIPS 2024
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024
Offline Learning in Markov Games with General Function Approximation ICML 2023
Sequential Counterfactual Risk Minimization ICML 2023
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NIPS 2023
Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023
Improving Behavioural Cloning with Positive Unlabeled Learning CORL 2023
Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023
CEIL: Generalized Contextual Imitation Learning NIPS 2023
PASTA: Pessimistic Assortment Optimization ICML 2023
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NIPS 2023