Ryan Lindeborg

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All published works

Action	Title	Year	Authors
+	Hierarchical Neural Program Synthesis	2023	Linghan Zhong Ryan Lindeborg Jesse Zhang Joseph J. Lim Shao-Hua Sun
+	Sequoia: A Software Framework to Unify Continual Learning Research	2021	Fabrice Normandin Florian Golemo Oleksiy Ostapenko Pau Rodríguez Matthew Riemer Julio Hurtado Khimya Khetarpal Dominic Zhao Ryan Lindeborg Timothée Lesort
+	Sequoia: A Software Framework to Unify Continual Learning Research	2021	Fabrice Normandin Florian Golemo Оleksiy Ostapenko Pau Rodríguez Matthew Riemer Julio Ariel Hurtado Alegría Khimya Khetarpal Ryan Lindeborg Lucas Cecchi Timothée Lesort

Common Coauthors

Coauthor	Papers Together
Timothée Lesort	2
Khimya Khetarpal	2
Matthew Riemer	2
M. Caccia	2
Irina Rish	2
Fabrice Normandin	2
Laurent Charlin	2
Florian Golemo	2
Pau Rodríguez	2
Julio Hurtado	1
Lucas Cecchi	1
Julio Ariel Hurtado Alegría	1
Jesse Zhang	1
Linghan Zhong	1
Joseph J. Lim	1
Оleksiy Ostapenko	1
Dominic Zhao	1
Shao-Hua Sun	1
Oleksiy Ostapenko	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	The benefit of multitask representation learning	2016	Andreas Maurer Massimiliano Pontil Bernardino Romera‐Paredes	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+	PathNet: Evolution Channels Gradient Descent in Super Neural Networks	2017	Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwólš David Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Overcoming catastrophic forgetting with hard attention to the task	2018	Joan Serrà Dídac Surís Marius Miron Alexandros Karatzoglou	1
+	Continual lifelong learning with neural networks: A review	2019	German I. Parisi Ronald Kemker Jose L. Part Christopher Kanan Stefan Wermter	1
+	Towards Robust Evaluations of Continual Learning	2018	Sebastian Farquhar Yarin Gal	1
+	Generalization and Regularization in DQN	2018	Jesse Farebrother Marlos C. Machado Michael Bowling	1
+	Task Agnostic Continual Learning Using Online Variational Bayes	2018	Chen Zeno Itay Golan Elad Hoffer Daniel Soudry	1
+	Efficient Lifelong Learning with A-GEM	2018	Arslan Chaudhry Marc’Aurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny	1
+	Three scenarios for continual learning	2019	Gido M. van de Ven Andreas S. Tolias	1
+	Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement	2019	André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel Daniel J. Mankowitz Augustin Žídek Rémi Munos	1
+	DisCoRL: Continual Reinforcement Learning via Policy Distillation	2019	Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz-Rodríguez David Filliat	1
+	Deep Reinforcement Learning That Matters	2017	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	1
+	Continual Learning with Deep Generative Replay	2017	Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+ PDF Chat	iCaRL: Incremental Classifier and Representation Learning	2017	Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl Christoph H. Lampert	1
+	Experience Replay for Continual Learning	2019	David Rolnick Arun Ahuja Jonathan Schwarz Timothy Lillicrap Gregory Wayne	1
+ PDF Chat	Marginal Replay vs Conditional Replay for Continual Learning	2019	Timothée Lesort Alexander Gepperth Andrei Stoian David Filliat	1
+ PDF Chat	Generative Models from the perspective of Continual Learning	2019	Timothée Lesort Hugo Caselles-Dupré Michael Garcia-Ortiz Andrei Stoian David Filliat	1
+	Continual Learning Using Bayesian Neural Networks	2019	Honglin Li Payam Barnaghi Shirin Enshaeifar Frieder Ganz	1
+	Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning	2019	Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine	1
+	Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges	2019	Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz-Rodríguez	1
+ PDF Chat	Lifelong Learning with a Changing Action Set	2020	Yash Chandak Georgios Theocharous Chris Nota Philip S. Thomas	1
+	Continual Reinforcement Learning with Multi-Timescale Replay	2020	Christos Kaplanis Claudia Clopath Murray Shanahan	1
+ PDF Chat	A continual learning survey: Defying forgetting in classification tasks	2021	Matthias Delange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia Aleš Leonardis Greg Slabaugh Tinne Tuytelaars	1
+	Deep Reinforcement Learning amidst Lifelong Non-Stationarity	2020	Annie Xie J. Michael Harrison Chelsea Finn	1
+	La-MAML: Look-ahead Meta Learning for Continual Learning	2020	Gunshi Gupta Karmesh Yadav Liam Paull	1
+ PDF Chat	Towards Continual Reinforcement Learning: A Review and Perspectives	2022	Khimya Khetarpal Matthew Riemer Irina Rish Doina Precup	1
+	Continuum: Simple Management of Complex Continual Learning Scenarios	2021	Arthur Douillard Timothée Lesort	1
+	Avalanche: an End-to-End Library for Continual Learning	2021	Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta Gabriele Graffieti Tyler L. Hayes Matthias De Lange Marc Masana Jary Pomponi Gido M. van de Ven	1
+	Continual World: A Robotic Benchmark For Continual Reinforcement Learning	2021	Maciej Wołczyk Michał Zając Razvan Pascanu Łukasz Kuciński Piotr Miłoś	1