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On the Role of Neural Collapse in Transfer Learning
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Bootstrapped Meta-Learning
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Introducing Symmetries to Black Box Meta Reinforcement Learning
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Unifying gradient estimators for meta-reinforcement learning via off-policy evaluation
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A Distribution-Dependent Analysis of Meta-Learning
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Alchemy: A structured task distribution for meta-reinforcement learning
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Importance Weighted Policy Learning and Adaption
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Information Theoretic Meta Learning with Gaussian Processes
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Amortized learning of neural causal representations
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Discovering Reinforcement Learning Algorithms
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Rapid Task-Solving in Novel Environments
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Self-Tuning Deep Reinforcement Learning
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Adapting Behaviour for Learning Progress
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What Can Learned Intrinsic Rewards Capture?
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MetaFun: Meta-Learning with Iterative Functional Updates
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LOGAN: Latent Optimisation for Generative Adversarial Networks
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Meta-Learning Deep Energy-Based Memory Models
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Discovery of Useful Questions as Auxiliary Tasks
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Meta-Learning with Warped Gradient Descent
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On Inductive Biases in Deep Reinforcement Learning
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Meta-Learning Neural Bloom Filters
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Interval Timing in Deep Reinforcement Learning Agents
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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
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Deep Compressed Sensing
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Meta reinforcement learning as task inference