Browsing: reinforcement learning

Reinforcement learning, a method refined in academia over two decades, is powering the next generation of AI breakthroughs by enabling machines to learn through trial and error, guided by feedback from their environment.

Google’s DeepMind unit suggests a new approach called ‘streams’ to enable AI models to learn from environmental experiences without human pre-judgment, potentially leading to artificial general intelligence.

Alibaba Cloud has launched QwQ-32B, an open-source large language model (LLM) that uses reinforcement learning to achieve performance comparable to models with significantly more parameters.

Andrew Barto and Richard Sutton receive the prestigious Turing Award for their foundational work in reinforcement learning, a field pivotal to modern artificial intelligence and decision-making systems. Their research, supported in part by the NSF, has transformed various fields, from robotics to neuroscience.

HTX Ventures’ latest report highlights DeepSeek’s use of reinforcement learning as a potential ‘iPhone moment’ for AI in crypto, driving innovation and cost reduction within the industry.

HTX Ventures’ latest report highlights DeepSeek’s use of reinforcement learning as a catalyst for AI’s evolution in the crypto industry, potentially reshaping the sector.

HTX Ventures’ new report highlights how DeepSeek’s reinforcement learning could revolutionize AI’s role in the crypto industry.

Andrew Barto and Richard Sutton are recognized for their groundbreaking work that underpins modern artificial intelligence.

Richard Sutton and Andrew Barto have been awarded the 2024 Turing Award for their foundational work in reinforcement learning, a critical area that has driven advancements in artificial intelligence.