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task distribution

36 papers

Papers

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory AISTATS 2025 Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation ICLR 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage AISTATS 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NeurIPS 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NeurIPS 2023 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions ICLR 2023 Recurrent Hypernetworks are Surprisingly Strong in Meta-RL NeurIPS 2023 Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023 The Effect of Diversity in Meta-Learning AAAI 2023 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Curriculum Reinforcement Learning via Constrained Optimal Transport ICML 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 How to Distribute Data across Tasks for Meta-Learning? AAAI 2022 Meta Learning MDPs with linear transition models AISTATS 2022 Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NeurIPS 2022 ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021 Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract) AAAI 2021 Learning Task-Distribution Reward Shaping with Meta-Learning AAAI 2021 Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NeurIPS 2021 Meta-learning with Stochastic Linear Bandits ICML 2020