AMavorParker

3 ms·

1. 1.▲
   Propel: Breaking the Solver Bottleneck in Task-Generator RL(vmax.ai)

   3 points by AMavorParker 4mo ago|0 comments
2. 2.▲
   Unix-CTF: Procedural Environments for Unix-Competence Reinforcement Learning(twitter.com)

   2 points by AMavorParker 4mo ago|0 comments
3. 3.▲
   by AMavorParker 5mo ago

   The teachers never attempt to solve their own problems, only the students solve problems. Regarding the TrueSkill of the teachers, the self-play settings we operate in in this paper are zero-sum competitive which means that the population s
4. 4.▲
   by AMavorParker 5mo ago

   Thanks for your interest! Not necessarily. While the held-out downstream evals showed that 1T-1S setups outperformed larger populations like 4T-4S or 8T-8S on some specific benchmarks, that does not invalidate the motivation for population-
5. 5.▲
   PopuLoRA: Co-Evolving LLM Populations for Reasoning Self- Play(vmax.ai)

   51 points by AMavorParker 5mo ago|6 comments
6. 6.▲
   by AMavorParker 5mo ago

   We introduce PopuLoRA, a population-based asymmetric self-play framework for reinforcement learning with verifiable rewards (RLVR) post-training of LLMs. Teachers and students are specialised LoRA adapters on a shared frozen base: teachers