95 citations · 110 across the 5 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2023★ 95 cited
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi +29
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of…
cs.AI2022★ 5 cited
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL
Andreas A. Haupt, Phillip J. K. Christoffersen, Mehul Damani +1
Multi-agent Reinforcement Learning (MARL) is a powerful tool for training autonomous agents acting independently in a common environment. However, it can lead to sub-optimal behavi…