meta-reinforcement learning

Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning ACL 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping ICLR 2025 Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR 2025 Efficient Cross-Episode Meta-RL ICLR 2025 Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025 Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning ICLR 2025 Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding ICML 2025 Optimizing Test-Time Compute via Meta Reinforcement Finetuning ICML 2025 Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks ICML 2025 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NeurIPS 2024 AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents ICLR 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NeurIPS 2024 MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024