Stanford U Demonstrates Meta-Reinforcement Agents Gain Language Skills Without Direct Language Supervision | Synced
In a new paper Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning, a Stanford University research team affirms that simple language skills can emerge in meta-RL agents ...
Source: Synced | AI Technology & Industry Review
In a new paper Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning, a Stanford University research team affirms that simple language skills can emerge in meta-RL agents without direct language supervision by testifying this theory in their customized multi-task environment.