Scientists Use Human Preferences to Train AI Agents 30x Faster
#reinforcementlearning #incontextlearning #preferencelearning #largelanguagemodels #rewardfunctions #rlhfefficiency #humaninthelooprl #incontextpreferencelearning
https://hackernoon.com/scientists-use-human-preferences-to-train-smarter-ai-agents-30x-faster
#reinforcementlearning #incontextlearning #preferencelearning #largelanguagemodels #rewardfunctions #rlhfefficiency #humaninthelooprl #incontextpreferencelearning
https://hackernoon.com/scientists-use-human-preferences-to-train-smarter-ai-agents-30x-faster
Hackernoon
Scientists Use Human Preferences to Train AI Agents 30x Faster
A. Appendix
How ICPL Addresses the Core Problem of RL Reward Design
#reinforcementlearning #incontextlearning #preferencelearning #largelanguagemodels #rewardfunctions #rlhfefficiency #humaninthelooprl #incontextpreferencelearning
https://hackernoon.com/how-icpl-addresses-the-core-problem-of-rl-reward-design
#reinforcementlearning #incontextlearning #preferencelearning #largelanguagemodels #rewardfunctions #rlhfefficiency #humaninthelooprl #incontextpreferencelearning
https://hackernoon.com/how-icpl-addresses-the-core-problem-of-rl-reward-design
Hackernoon
How ICPL Addresses the Core Problem of RL Reward Design
ICPL integrates LLMs with human preferences to iteratively synthesize reward functions, offering an efficient, feedback-driven approach to RL reward design.