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meta-reinforcement learning

61 papers

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Also known as

META-RL MRL

Co-occurring keywords

few-shot learning (3398) task distribution (32) multi-task learning (2575) task inference (13) reinforcement learning (4352) contrastive learning (4032) representation learning (6206) policy adaptation (26) meta reinforcement learning (24) task representation (12)

Papers

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NIPS 2024
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NIPS 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NIPS 2024
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning NIPS 2024
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NIPS 2023
Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NIPS 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023
Human-Timescale Adaptation in an Open-Ended Task Space ICML 2023
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems AAAI 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NIPS 2023