2 citations · 3 across the 4 of their papers we have counts for
4 papers
Sorrel: A simple and flexible framework for multi-agent reinforcement learning
Rebekah A. Gelpí, Yibing Ju, Ethan C. Jackson +4
We introduce Sorrel (https://github.com/social-ai-uoft/sorrel), a simple Python interface for generating and testing new multi-agent reinforcement learning environments. This inter…
Temporal-Difference Learning Using Distributed Error Signals
Jonas Guan, Shon Eduard Verch, Claas Voelcker +3
A computational problem in biological reward-based learning is how credit assignment is performed in the nucleus accumbens (NAc). Much research suggests that NAc dopamine encodes t…
Social coordination perpetuates stereotypic expectations and behaviors across generations in deep multi-agent reinforcement learning
Rebekah A. Gelpí, Yikai Tang, Ethan C. Jackson +1
Despite often being perceived as morally objectionable, stereotypes are a common feature of social groups, a phenomenon that has often been attributed to biased motivations or limi…
Decision-Directed Data Decomposition
Brent D. Davis, Ethan Jackson, Daniel J. Lizotte
We present an algorithm, Decision-Directed Data Decomposition (D4), which decomposes a dataset into two components. The first contains most of the useful information for a specifie…