Matthew Riemer

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Lifelong Learning

Nash Equilibria

Reinforcement Learning

Theoretical Perspectives

Top Venues

Publications

Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. ACL (1) (2024)
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
Towards Continual Reinforcement Learning: A Review and Perspectives. J. Artif. Intell. Res. 75 (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR (2022)
Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Gerald Tesauro, Jonathan P. How
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. CoRR (2022)
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
Context-Specific Representation Abstraction for Deep Option Learning. AAAI (2022)
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
Continual Learning In Environments With Polynomial Mixing Times. NeurIPS (2022)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG (2021)
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
Continual Learning In Environments With Polynomial Mixing Times. CoRR (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). AAAI (2021)
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI (2021)
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci (2021)
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How
Context-Specific Representation Abstraction for Deep Option Learning. CoRR (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. CoRR (2020)
Tim Klinger, Dhaval Adjodah, Vincent Marois, Josh Joseph, Matthew Riemer, Alex 'Sandy' Pentland, Murray Campbell
A Study of Compositional Generalization in Neural Models. CoRR (2020)
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR (2020)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR (2020)
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro
On the Role of Weight Sharing During Deep Option Learning. AAAI (2020)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS (2020)
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR (2020)
Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract). AAAI (2020)
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
Towards Continual Reinforcement Learning: A Review and Perspectives. CoRR (2020)
Matthew Riemer, Tim Klinger, Djallel Bouneffouf, Michele Franceschini
Scalable Recollections for Continual Lifelong Learning. AAAI (2019)
Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR (2019)
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro
On the Role of Weight Sharing During Deep Option Learning. CoRR (2019)
Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
Continual Learning with Self-Organizing Maps. CoRR (2019)
Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar
Hierarchical Average Reward Policy Gradient Algorithms. CoRR (2019)
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, Tim Klinger
Routing Networks and the Challenges of Modular and Compositional Computation. CoRR (2019)
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) (2019)
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR (Poster) (2019)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI (2019)
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning. ICLR (Poster) (2018)
Matthew Riemer, Miao Liu, Gerald Tesauro
Learning Abstract Options. CoRR (2018)
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR (2018)
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. CoRR (2018)
Matthew Riemer, Miao Liu, Gerald Tesauro
Learning Abstract Options. NeurIPS (2018)
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR (2018)
Matthew Riemer, Elham Khabiri, Richard Goodwin
Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning. CoRR (2017)
Matthew Riemer, Michele Franceschini, Tim Klinger
Generation and Consolidation of Recollections for Efficient Deep Lifelong Learning. CoRR (2017)
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning. CoRR (2017)
Matthew Riemer, Aditya Vempaty, Flávio du Pin Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri
Correcting Forecasts with Multifactor Neural Attention. ICML (2016)
Elham Khabiri, Matthew Riemer, Fenno F. Terry Heath III, Richard Hull
Domain Scoping for Subject Matter Experts. AAAI Fall Symposia (2015)
Fenno F. Terry Heath III, Richard Hull, Elham Khabiri, Matthew Riemer, Noi Sukaviriya, Roman Vaculín
Alexandria: Extensible Framework for Rapid Exploration of Social Media. CoRR (2015)
Matthew Riemer, Sophia Krasikov, Harini Srinivasan
A Deep Learning and Knowledge Transfer Based Architecture for Social Media User Characteristic Determination. SocialNLP@NAACL (2015)
Fenno F. Terry Heath III, Richard Hull, Elham Khabiri, Matthew Riemer, Noi Sukaviriya, Roman Vaculín
Alexandria: Extensible Framework for Rapid Exploration of Social Media. BigData Congress (2015)