Rui and Michael built EdotEnv, a suite of self-improving reinforcement learning environments that scale with model capability, designed to benchmark LLMs on quant research tasks such as feature engine…
EdotEnv, a Y Combinator S26 company, has launched reinforcement learning environments that use quantitative trading workflows to teach large language models research methodologies. The platform genera…
EdotEnv, a Y Combinator Summer 2026 company founded by Jay Azhang and Matthew Siper, is taking sign-ups for reinforcement learning environments built from financial-market data, aimed at training agen…
EdotEnv (YC S26), founded by Rui and Michael, launched self-improving reinforcement learning environments derived from quant trading workflows to train LLMs in research skills. The environments evalua…