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cs.LG2025
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
Prakhar Gupta, Vaibhav Gupta
Post-training with reinforcement learning (RL) typically optimizes a single scalar objective and ignores structure in how solutions are produced. We ask whether a scalar hint towar…
cs.LG2025
Better World Models Can Lead to Better Post-Training Performance
Prakhar Gupta, Henry Conklin, Sarah-Jane Leslie +1
We study how explicit world-modeling objectives affect the internal representations and downstream capability of Transformers, using Rubik's Cubes as our training domain. We ask: (…