ArXiv TLDR

Shane Legg

2 papers · Latest:

Robotics

Scaling Instructable Agents Across Many Simulated Worlds

This paper presents SIMA, an instructable embodied AI agent trained to follow free-form language instructions across diverse 3D simulated environments using a generic keyboard-and-mouse interface.

2404.10179
Statistical Machine Learning

Deep reinforcement learning from human preferences

This paper demonstrates that deep reinforcement learning agents can be effectively trained using human preferences as feedback instead of explicit reward functions, enabling complex task learning with minimal human input.

1706.03741

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