conftrace_

task distribution

32 papers

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Co-occurring keywords

few-shot learning (3398) meta-reinforcement learning (61) reinforcement learning (4352) multi-task learning (2575) curriculum learning (633) model-agnostic meta-learning (66) policy adaptation (26) multi-task adaptation (6) curriculum generation (6) biased regularization (2)

Papers

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023
The Effect of Diversity in Meta-Learning AAAI 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NIPS 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NIPS 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NIPS 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Curriculum Reinforcement Learning via Constrained Optimal Transport ICML 2022
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022
How to Distribute Data across Tasks for Meta-Learning? AAAI 2022
Distributionally Adaptive Meta Reinforcement Learning NIPS 2022
Meta Learning MDPs with linear transition models AISTATS 2022
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NIPS 2021
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021
Meta-learning with Stochastic Linear Bandits ICML 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning NIPS 2020
Self-Paced Deep Reinforcement Learning NIPS 2020
Self-Paced Contextual Reinforcement Learning CORL 2019