GOAT.AI

Research Lab on Human <> AI Agent interactions

We demonstrate that smaller models with appropriate datasets and reinforcement learning can outperform larger models on various tasks. We focus on training compact but solid models for solving domain specific tasks

Problems of Autonomous Agents we are researching on:

1. Stuck in the Loop

Advanced architechture for end-to-end Agent training

2. Hallucinations

Proximal Policy Optimization ( new optimization methods and reward modeling)

3. Experience

Applying MetaRL techniques

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