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Beyond Imitation: Reinforcement Learning for Active Latent Planning
Paper • 2601.21598 • Published • 10 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
Paper • 2602.12099 • Published • 61
Mark Kimitch
mkimitch
AI & ML interests
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Recent Activity
liked a model about 10 hours ago
moonshotai/Kimi-K2.5 liked a model about 10 hours ago
zai-org/GLM-5.1 liked a Space about 10 hours ago
huggingfacejs/chat-template-playgroundOrganizations
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Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 148 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 8 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276
-
Beyond Imitation: Reinforcement Learning for Active Latent Planning
Paper • 2601.21598 • Published • 10 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
Paper • 2602.12099 • Published • 61
-
Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 148 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 8 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276