Large language models and reinforcement learning agents represent two fundamentally different approaches to intelligence that mirror the centuries-old philosophical debate between rationalism and empi…
AI researcher Rich Sutton warns against the 'one-step trap' in AI research, where relying on iterating one-step predictions for long-term outcomes leads to compounding errors and exponential computati…
Some AI researchers argue that scaling large language models may not be sufficient to achieve human-level intelligence, pointing to alternative approaches such as world models, pure reinforcement lear…
Three former DeepMind researchers who created a poker AI have applied reinforcement learning to stock trading through their startup EquiLibre Technologies, now valued at $500 million after a Series A …