2 papers
cs.AI2026
RL Post-Training Builds Compositional Reasoning Strategies
Azwar Abdulsalam, Nishil Patel, Andrew Saxe
Does RL post-training merely amplify primitive skills already latent in a base model, or can it compose primitive skills into new higher-level strategies? We study this question in…
cs.LG2024
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli +2
Reinforcement learning (RL) algorithms have proven transformative in a range of domains. To tackle real-world domains, these systems often use neural networks to learn policies dir…