Jonathan Balloch

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Agent Based Modeling

Vector Quantization

Incremental Learning

Semi Supervised Clustering Algorithm

Top Venues

Publications

Rishav Bhagat, Jonathan Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling. CoRR (2024)
Kenneth Eaton, Jonathan Balloch, Julia M. Kim, Mark O. Riedl
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited. CoRR (2024)
James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. ICCV (2021)
James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. IJCNN (2021)
James Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. CoRR (2021)
James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. CoRR (2021)