DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Paper • 2610.23839 • Published • 20
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DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
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OpenClaw-RL: Train Any Agent Simply by Talking
Paper • 2603.10165 • Published • 161
GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
Paper • 2512.19682 • Published • 19
Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes
Paper • 2601.04300 • Published • 3
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
Paper • 2512.13278 • Published
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Paper • 2602.02488 • Published • 36
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