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References from A Tutorial on Meta-Reinforcement Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Flambe: Structural complexity and representation learning of low rank mdps
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Learning to learn by gradient descent by gradient descent
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10.1109/icra40945.2020.9196540
10.1109/icra40945.2020.9196540 · 2020 · External reference
10.52202/068431-1489
10.52202/068431-1489 · External reference
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2019 · External reference
A model of inductive bias learning
10.1613/jair.731 · 2000 · External reference
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Hypernetworks in Meta-Reinforcement Learning
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10.52202/075280-2714
10.52202/075280-2714 · 2023 · External reference
Model-based meta-reinforcement learning for flight with suspended payloads
10.1109/lra.2021.3057046 · 2021 · External reference
Long short-term memory and Learning-to-learn in networks of spiking neurons
2018 · External reference
Autonomous navigation of stratospheric balloons using reinforcement learning
10.1038/s41586-020-2939-8 · 2020 · External reference
The arcade learning environment: An evaluation platform for general agents
10.1613/jair.3912 · 2013 · External reference
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Learning One-Shot Imitation from Humans without Humans
10.1109/lra.2020.2977835 · 2020 · External reference
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Language Models are Few-Shot Learners
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10.52202/068431-0569
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2017 · External reference
Provable benefit of multitask representation learning in reinforcement learning
10.52202/068431-2301 · 2022 · External reference
ContraBAR: Contrastive Bayes-Adaptive Deep RL
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Model-Based Reinforcement Learning via Meta-Policy Optimization
2018 · External reference
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Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation
10.1109/iros45743.2020.9341076 · 2020 · External reference
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Emergent complexity and zero-shot transfer via unsupervised environment design
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2019 · External reference
Offline Meta Reinforcement Learning-Identifiability Challenges and Effective Data Collection Strategies
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One-Shot Imitation Learning
2017 · External reference
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2018 · External reference
Diversity is All You Need: Learning Skills without a Reward Function
2019 · External reference
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2020 · External reference
On the convergence theory of debiased model-agnostic meta-reinforcement learning
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Loaded DiCE: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning
2019 · External reference
Neural auto-curricula in two-player zero-sum games
2021 · External reference
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2017 · External reference
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
2018 · External reference
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2019 · External reference
One-Shot Visual Imitation Learning via Meta-Learning
2017 · External reference
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2018 · External reference
Learning with Opponent-Learning Awareness
10.65109/hgwa8807 · 2018 · External reference
Generalization of Reinforcement Learners with Working and Episodic Memory
2019 · External reference
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Off-Policy Deep Rein-forcement Learning without Exploration
2019 · External reference
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A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
10.65109/ihus5472 · 2019 · External reference
Neural Processes
2018 · External reference
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10.1109/iros51168.2021.9636628
10.1109/iros51168.2021.9636628 · 2021 · External reference
10.1561/2200000049 · 2015 · Admitted local publication
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Can Learned Optimization Make Reinforcement Learning Less Difficult?
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2019 · External reference
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AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
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2018 · External reference
Scalable and efficient Bayes-adaptive reinforcement learning based on Monte-Carlo tree search
10.1613/jair.4117 · 2013 · External reference
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2018 · External reference
Dynamic population-based meta-learning for multi-agent communication with natural language
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Deep Recurrent Q-Learning for Partially Observable MDPs
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A survey of deep meta-learning
10.1007/s10462-021-10004-4 · 2021 · External reference
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2019 · External reference
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference
10.1109/access.2022.3170582 · 2022 · External reference
Unsupervised curricula for visual meta-reinforcement learning
2019 · External reference
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2016 · External reference
Task-Embedded Control Networks for Few-Shot Imitation Learning
2018 · External reference
Rlbench: The robot learning benchmark & learning environment
10.1109/lra.2020.2974707 · 2020 · External reference
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Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
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A survey of zero-shot generalisation in deep reinforcement learning
10.1613/jair.1.14174 · 2023 · External reference
Introducing Symmetries to Black Box Meta Reinforcement Learning
10.1609/aaai.v36i7.20681 · 2022 · External reference
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RMA: Rapid Motor Adaptation for Legged Robots
10.15607/rss.2021.xvii.011 · 2021 · External reference
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2020 · External reference
10.15607/rss.2021.xvii.065
10.15607/rss.2021.xvii.065 · 2021 · External reference
The nethack learning environment
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In-context reinforcement learning with algorithm distillation
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Supervised pretraining can learn in-context reinforcement learning
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Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
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Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
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Learning to Optimize
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Adaptive Auxiliary Task Weighting for Reinforcement Learning
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Model-based Adversarial Meta-Reinforcement Learning
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Model-based adversarial meta-reinforcement learning
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A theoretical understanding of gradient bias in meta-reinforcement learning
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Giving Feedback on Interactive Student Programs with Meta-Exploration
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Information-theoretic task selection for meta-reinforcement learning
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10.52202/068431-0179
10.52202/068431-0179 · External reference
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Guided Meta-Policy Search
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Learning robust perceptive locomotion for quadrupedal robots in the wild
10.1126/scirobotics.abk2822 · 2022 · External reference
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Control of Memory, Active Perception, and Action in Minecraft
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Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
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Stabilizing Transformers for Reinforcement Learning
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Meta-Curvature
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On the difficulty of training recurrent neural networks
2013 · External reference
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Survey of model-based reinforcement learning: Applications on robotics
10.1007/s10846-017-0468-y · 2017 · External reference
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Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
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Fast Adaptation via Policy-Dynamics Value Functions
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How Should an Agent Practice?
10.1609/aaai.v34i04.5995 · 2020 · External reference
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Optimization as a Model for Few-Shot Learning
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Been There, Done That: Meta-Learning with Episodic Recall
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Sim-to-Real with Domain Randomization for Tumbling Robot Control
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Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments
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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
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Some Considerations on Learning to Explore via Meta-Reinforcement Learning
2018 · External reference
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Approximate information state for approximate planning and reinforcement learning in partially observed systems
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Learning to Compare: Relation Network for Few-Shot Learning
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SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
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Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
10.1109/iros45743.2020.9341398 · 2020 · External reference
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning
10.65109/zaqo5222 · 2022 · External reference
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2020 · External reference
NoRML: No-Reward Meta Learning
10.65109/elvr9404 · 2019 · External reference
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Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards
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Fast Context Adaptation via Meta-Learning
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