README.rst

References

Summary: This a is non-exhaustive list of references for this component.

Table of Contents

• Automated Model Retraining
• Intra-Agent Transfer Learning in RL
• Memory Bottleneck
• Causal Learning
• Meta Learning
• Multitask Learning
• Transfer Learning

See also Continual Learning Literature

Automated Model Retraining

2017

• Overcoming catastrophic forgetting in neural networks

2018

• Reinforced Continual Learning

2019

• Continual learning with hypernetworks
• Continual Lifelong Learning with Neural Networks: A Review
• Continual Learning with Neural Networks: A Review
• Continual Learning in Practice

2020

• Embracing Change: Continual Learning in Deep Neural Networks
• Continual Lifelong Learning in Natural Language Processing: A Survey

2021

• Recent Advances of Continual Learning in Computer Vision: An Overview
• A continual learning survey: Defying forgetting in classification tasks
• An Investigation of Replay-based Approaches for Continual Learning

2022

• Architecture Matters in Continual Learning

Intra-Agent Transfer Learning in RL

2009

• Transfer Learning for Reinforcement Learning Domains: A Survey

2019

• A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

2020

• Transfer Learning in Deep Reinforcement Learning: A Survey

Memory Bottleneck

See Memory Bottleneck.

Causal Learning

2017

• Elements of Causal Inference: Foundations and Learning Algorithms

2019

• Causal Discovery with Reinforcement Learning

2021

• Towards Causal Representation Learning

Meta Learning

2018

• Meta-Learning: A Survey

2020

• A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

2021

• A survey of deep meta‑learning

2022

• Meta-Learning in Neural Networks: A Survey

Multitask Learning

2017

• An Overview of Multi-task Learning in Deep Neural Networks

2019

• Meta-World: A Benchmark and Evaluation for Multi-task and Meta Reinforcement Learning

2020

• Multi-Task Learning with Deep Neural Networks: A Survey

Transfer Learning

2009

• A Survey on Transfer Learning

2016

• A survey of transfer learning

2019

• A Comprehensive Survey on Transfer Learning