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I have been keenly interested in the intersection of multi-agent reinforcement learning (MARL) and hardware security. When you deploy a trained RL p…
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) When people ask "how was ChatGPT trained?", the answer usually involves RLHF - Rein…
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) Day 4 ended with a working Q-learning agent. A table of numbers that an agent used…
What Happened Researchers have published a study investigating the complex pipeline from pretraining to reinforcement learning (RL) in large languag…
Recap. Part 1 framed the problem (trajectory reward is too coarse for multi-step agents) and SDAR's fix (a privileged teacher gives dense token-leve…
If you train robot policies long enough, you eventually realize the main problem is not launching runs. It is answering these questions fast enough:…