Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Prof Ambuj Tewari from the University of Michigan explains the origins of reinforcement learning and why it’s so valuable in AI research and development. Understanding intelligence and creating ...
When OpenAI releases a new version of GPT, or when Anthropic ships an update to Claude, the headlines focus on benchmark ...
Researchers at the Japan Advanced Institute of Science and Technology (JAIST) implemented a framework named PenGym that supports the creation of realistic training environments for reinforcement ...
Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...
Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...
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