Google Gemini ♊ on "What is meta-RL and how does orbitofrontal cortex (OFC) mediates meta-RL?"
0"What is meta-RL and how does the orbitofrontal cortex (OFC) mediate meta-RL?"
Art by Microsoft Designer App
Voice and draft by Google Gemini (formerly Bard)
**Summary**
Meta-reinforcement learning (meta-RL) is a reinforcement learning (RL) framework that involves RL over multiple timescales. It is a subfield of machine learning that deals with training agents to make decisions in uncertain environments. RL agents learn by interacting with their environment and receiving rewards or penalties for their actions. Meta-RL agents, on the other hand, learn not only how to make decisions in a specific environment, but also how to learn quickly in new environments. This is achieved by training the agent on a variety of tasks and environments, and allowing it to learn how to adapt its decision-making process to new situations.
The orbitofrontal cortex (OFC) is a brain region that is involved in a variety of cognitive functions, including decision-making, reward processing, and value learning. It is thought to play a key role in meta-RL by enabling agents to learn from experience and adapt their behavior to new environments.