James Mochizuki-Freeman

Orcid: 0009-0005-6721-2344

According to our database1, James Mochizuki-Freeman authored at least 4 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
Deep Reinforcement Learning with Time-Scale Invariant Memory.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023
Geometry of abstract learned knowledge in deep RL agents.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task.
Proceedings of the International Joint Conference on Neural Networks, 2023

Representing Latent Dimensions Using Compressed Number Lines.
Proceedings of the International Joint Conference on Neural Networks, 2023


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