Cites: SPADE: Self-Play in Adaptive Synthetic Executable Environments

11 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.

• Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
  arxiv:1901.01753 · evidence: id
• AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
  arxiv:1905.10985 · evidence: id
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• Open-Endedness is Essential for Artificial Superhuman Intelligence
  arxiv:2406.04268 · evidence: id
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  arxiv:2503.14476 · evidence: id
• Can Large Reasoning Models Self-Train?
  arxiv:2505.21444 · evidence: id
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
  arxiv:2511.07317 · evidence: id
• Toward Training Superintelligent Software Agents through Self-Play SWE-RL
  arxiv:2512.18552 · evidence: id
• MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
  arxiv:2601.03192 · evidence: id
• Learning to Continually Learn via Meta-learning Agentic Memory Designs
  arxiv:2602.07755 · evidence: id
• Hyperagents
  arxiv:2603.19461 · evidence: id