task inference

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning ICML 2025 Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence ICML 2025 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 Context Shift Reduction for Offline Meta-Reinforcement Learning NeurIPS 2023 Meta-Learning Dynamics Forecasting Using Task Inference NeurIPS 2022 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization ICLR 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 Fast Task Inference with Variational Intrinsic Successor Features ICLR 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 Supermasks in Superposition NeurIPS 2020 Continual Unsupervised Representation Learning NeurIPS 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ICLR 2018