Offline-Online Reinforcement Learning: Extending Batch and Online RL

no code implementations • 29 Sep 2021 • Maryam Hashemzadeh, Wesley Chung, Martha White

To enable better performance, we investigate the offline-online setting: The agent has access to a batch of data to train on but is also allowed to learn during the evaluation phase in an online manner.

reinforcement-learning Reinforcement Learning (RL)

From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?

no code implementations • Findings of the Association for Computational Linguistics 2020 • Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea E. Martin, Alona Fyshe

The representations generated by many models of language (word embeddings, recurrent neural networks and transformers) correlate to brain activity recorded while people read.

Language Modelling Word Embeddings

Exploiting generalization in the subspaces for faster model-based learning

no code implementations • 22 Oct 2017 • Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

Generalization and faster learning in a subspace are due to many-to-one mapping of experiences from the full-space to each state in the subspace.

Decision Making Reinforcement Learning (RL)