Treating LLM Latents as Continuous Actions
A proposal for RL fine-tuning LLMs in latent space instead of token space — making pathwise gradients (SAC-style) applicable and sidestepping the 150k-way discrete exploration problem.
Occasional writing on my projects and ideas.
A proposal for RL fine-tuning LLMs in latent space instead of token space — making pathwise gradients (SAC-style) applicable and sidestepping the 150k-way discrete exploration problem.
Tuning Qwen3 4b with a custom RL architecture from scratch
Emergent multi-agent signaling with spatial memory
Training a transformer with PPO to solve POMDPs
Implement a actor critic from scratch in jax