19K views · 117 reactions | A team from ETH Zurich is teaching a wheeled and legged robot to complete tasks. Unusually though, they're using a curiosity-based incentive/reward architecture. The method, it's claimed, can speed up learning by cutting out extraneous reward-shaping. | Interesting Engineering | Facebook

Today, we're announcing two major advancements in our work toward general-purpose embodied AI agents that can help form the foundation for embodied intelligence. More details on this new research ➡️ https://bit.ly/40vsKUf Optimistic science fiction typically imagines a future where humans create art and pursue fulfilling pastimes while AI-enabled robots handle dull or dangerous tasks. But while we're seeing the use of AI expand quickly in knowledge and creative tasks, robots aren't yet doing our