Continual Learning In Environments With Polynomial Mixing Times
- Matthew Riemer
- Sharath Chandra Raparthy
- et al.
- 2022
- NeurIPS 2022
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16 results for Matthew Riemer
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
- Dong Ki Kim
- Matthew Riemer
- et al.
- 2022
- NeurIPS 2022
Context-Specific Representation Abstraction for Deep Option Learning
- Marwa Abdulhai
- Dong Ki Kim
- et al.
- 2022
- AAAI 2022
Hierarchical Average Reward Policy Gradient Algorithms
- Akshay Dharmavaram
- Matthew Riemer
- et al.
- 2020
- AAAI 2020
On the role of weight sharing during deep option learning
- Matthew Riemer
- Ignacio Cases
- et al.
- 2020
- AAAI 2020
Learning to learn without forgetting by maximizing transfer and minimizing interference
- Matthew Riemer
- Ignacio Cases
- et al.
- 2019
- ICLR 2019
Scalable recollections for continual lifelong learning
- Matthew Riemer
- Tim Klinger
- et al.
- 2019
- AAAI 2019
Learning to teach in cooperative multiagent reinforcement learning
- Shayegan Omidshafiei
- Dong Ki Kim
- et al.
- 2019
- AAAI 2019
Learning abstract options
- Matthew Riemer
- Miao Liu
- et al.
- 2018
- NeurIPS 2018
Routing networks: Adaptive selection of non-linear functions for multi-task learning
- Clemens Rosenbaum
- Tim Klinger
- et al.
- 2018
- ICLR 2018