M. Riemer

发表

Routing Networks and the Challenges of Modular and Compositional Computation pdf

Ignacio Cases, Matthew Riemer, Clemens Rosenbaum, 2019, ArXiv.

Learning to Teach in Cooperative Multiagent Reinforcement Learning

Jonathan P. How, Gerald Tesauro, Miao Liu, 2018, AAAI.

Generative Knowledge Distillation for General Purpose Function Compression

M. Franceschini, M. Riemer, Tim Klinger, 2017 .

Towards Continual Reinforcement Learning: A Review and Perspectives pdf

Doina Precup, Khimya Khetarpal, Irina Rish, 2020, ArXiv.

Scalable Recollections for Continual Lifelong Learning

Djallel Bouneffouf, Michele Franceschini, Matthew Riemer, 2017, AAAI.

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

Jakob N. Foerster, G. Tesauro, J. How, 2022, ArXiv.

UNIFY CONTINUAL LEARNING RESEARCH

Pau Rodríguez López, M. Riemer, Laurent Charlin, 2022 .

Context-Specific Representation Abstraction for Deep Option Learning

G. Tesauro, J. How, M. Riemer, 2021, AAAI.

Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning

M. Riemer, Elham Khabiri, Richard Goodwin, 2017, ArXiv.

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences pdf

Cícero Nogueira dos Santos, Aleksandra Mojsilovic, Tom Sercu, 2018, 1810.07743.

Domain Scoping for Subject Matter Experts

Richard Hull, Fenno Terry Heath, Matthew Riemer, 2015, AAAI Fall Symposia.

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

Jakob N. Foerster, G. Tesauro, J. How, 2022 .

Continual Learning In Environments With Polynomial Mixing Times

Sharath Chandra Raparthy, Ignacio Cases, M. Riemer, 2021, NeurIPS.

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

G. Tesauro, J. How, M. Riemer, 2022, NeurIPS.

Towards Continual Reinforcement Learning: A Review and Perspectives

Doina Precup, M. Riemer, Khimya Khetarpal, 2020, J. Artif. Intell. Res..

Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria

G. Tesauro, J. How, M. Riemer, 2022, ArXiv.

Learning Hierarchical Teaching Policies for Cooperative Agents

G. Tesauro, J. How, Murray Campbell, 2019, AAMAS.

Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference pdf

Gerald Tesauro, Miao Liu, Irina Rish, 2018, ICLR.

FORGETTING BY MAXIMIZING TRANSFER AND MINIMIZING INTERFERENCE

G. Tesauro, Y. Tu, Ignacio Cases, 2018 .

Recursive Routing Networks: Learning to Compose Modules for Language Understanding

Christopher Potts, Lauri Karttunen, Dan Jurafsky, 2019, NAACL.

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning pdf

Matthew Riemer, Clemens Rosenbaum, Tim Klinger, 2017, ICLR.

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning pdf

Gerald Tesauro, Jonathan P. How, Chuangchuang Sun, 2020, ICML.

Sequoia: A Software Framework to Unify Continual Learning Research pdf

Massimo Caccia, Khimya Khetarpal, Irina Rish, 2021, ArXiv.

User's guide to REDUCE subroutines for algebraic computations in general relativity

M. Riemer, G. Dautcourt, K. Jann, 1981 .

Correcting Forecasts with Multifactor Neural Attention

Richard Hull, Fenno Terry Heath, Aditya Vempaty, 2016, ICML.

Learning Abstract Options

Gerald Tesauro, Miao Liu, Matthew Riemer, 2018, NeurIPS.

Efficient Black-Box Planning Using Macro-Actions with Focused Effects

G. Tesauro, G. Konidaris, Michael Katz, 2020, IJCAI.

Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference

G. Tesauro, Y. Tu, Ignacio Cases, 2018, ICLR.

Sequoia: A Software Framework to Unify Continual Learning Research

Pau Rodríguez López, M. Riemer, Laurent Charlin, 2021, ArXiv.

Continual Learning with Self-Organizing Maps pdf

Martin Schrimpf, Pouya Bashivan, Irina Rish, 2019, ArXiv.

PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences

C. D. Santos, M. Riemer, A. Mojsilovic, 2018, ArXiv.

A Deep Learning and Knowledge Transfer Based Architecture for Social Media User Characteristic Determination

Sophia Krasikov, Harini Srinivasan, Matthew Riemer, 2015, SocialNLP@NAACL.

A Study of Compositional Generalization in Neural Models pdf

Alex 'Sandy' Pentland, Murray Campbell, Vincent Marois, 2020, ArXiv.

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning pdf

Jonathan P. How, Gerald Tesauro, Miao Liu, 2019, ArXiv.

On the Role of Weight Sharing During Deep Option Learning

G. Tesauro, C. Rosenbaum, Ignacio Cases, 2019, AAAI.

Coagent Networks Revisited

Modjtaba Shokrian Zini, M. Riemer, Miao Liu, 2020, 2001.10474.

Multiagent Reinforcement Learning

G. Tesauro, J. How, M. Riemer, 2020, Encyclopedia of Systems and Control.

Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning

M. Riemer, Elham Khabiri, Richard Goodwin, 2017, arXiv.org.

Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games pdf

Gerald Tesauro, Miao Liu, Chris R. Sims, 2020, ArXiv.