Towards Continual Reinforcement Learning: A Review and Perspectives
- Khimya Khetarpal
- Matthew Riemer
- et al.
- 2022
- JAIR
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64 results for Irina Rish
Continual Learning In Environments With Polynomial Mixing Times
- Matthew Riemer
- Sharath Chandra Raparthy
- et al.
- 2022
- NeurIPS 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
- Maxence Ernoult
- Fabrice Normandin
- et al.
- 2022
- ICML 2022
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
- Germán Abrevaya
- Guillaume Dumas
- et al.
- 2021
- Neural Computation
Toward skills dialog orchestration with online learning
- Djallel Bouneffouf
- Raphael Feraud
- et al.
- 2021
- ICASSP 2021
Double-linear Thompson sampling for context-attentive bandits
- Djallel Bouneffouf
- Raphael Feraud
- et al.
- 2021
- ICASSP 2021
Survey on Applications of Multi-Armed and Contextual Bandits
- Djallel Bouneffouf
- Irina Rish
- et al.
- 2020
- CEC 2020
A story of two streams: Reinforcement learning models from human behavior and neuropsychiatry
- Baihan Lin
- Guillermo Cecchi
- et al.
- 2020
- AAMAS 2020
Modeling dialogues with hashcode representations: A nonparametric approach
- Sahil Garg
- Irina Rish
- et al.
- 2020
- AAAI 2020
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate
- 2020
- Scientific Reports