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6 changes: 6 additions & 0 deletions todo.md
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- [ ] come up w/ more effective approach for scaling # of training and inference turns (diminishing returns)
- [ ] reduce reliance on external ground-truth verifiers to provide reward signals during training
- [ ] check for model collapse
- [ ] investigate scalability of PAG to larger models (e.g., 32B/70B parameters)
- [ ] integration with advanced reasoning techniques, such as long chain-of-thought
- [ ] RL algorithms for multi-turn training besides PPO (GRPO, DAPO, VAPO; REINFORCE was unstable)