Ground Truth Challenges
The absence of a ground truth reward presents significant challenges in reinforcement learning, particularly when assessing the success of tasks. Without clear benchmarks, agents can exploit weaknesses in reward models, complicating the pursuit of effective agency. The discussion highlights the impressive capabilities of AI in games like Starcraft and Dota, emphasizing the need for reliable evaluation methods in complex scenarios.In this clip
From this podcast
Training Data
Reflection AI’s Misha Laskin on the AlphaGo Moment for LLMs | Training Data
Related Questions