This document provides an overview of continual learning and state representation learning, including key papers in the fields. It summarizes various benchmark datasets used to evaluate continual learning models, such as MNIST, Fashion MNIST, and CORe50. Environments used to evaluate state representation and reinforcement learning are also cited, including ViZDoom and CRLMaze. Overall modeling approaches discussed include convolutional neural networks, policy distillation, and sim-to-real transfer for continual reinforcement learning.
49. S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
[Raffin’18] https://arxiv.org/abs/1809.09369
CRLMaze [Lomonaco’19], ViZDoom
[Lesort, Lomonaco, Stoian, Maltoni, Filliat, Diaz-Rodriguez. 19]
50.
51.
52. [Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
[Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
53. [Lopez-Paz & Ranzato’17]
[Díaz-Rodríguez, Lomonaco et al. Don't forget, there is more than forgetting:
new metrics for Continual Learning. CL Workshop, NeurIPS 2018].
[Lesort, Lomonaco, Stoian, Maltoni, Filliat, Diaz-Rodriguez. 19]
54. [Lopez-Paz & Ranzato’17]
[Díaz-Rodríguez, Lomonaco et al. Don't forget, there is more than forgetting:
new metrics for Continual Learning. CL Workshop, NeurIPS 2018].
[Lesort, Lomonaco, Stoian, Maltoni, Filliat, Diaz-Rodriguez. 19]
55. [Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
56. [Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
57. [Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
58. [Díaz-Rodríguez, Lomonaco et al. Don't forget, there is
more than forgetting: new metrics for Continual Learning.
CL Workshop, NeurIPS 2018].
65. Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. [Traoré’19]
State representation learning for control: An overview. Neural Networks. [Lesort’18]
66. Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. [Traoré’19]
State representation learning for control: An overview. Neural Networks. [Lesort’18]