Heng Huang

Reinforcement Learning · with Chen · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it

Whom Heng Huang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams (in Reinforcement Learning)

Papers from Heng Huang's perspective

Ordered by how strongly the researchers Heng Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Human-level control through deep reinforcement learning
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
6. Learning to summarize from human feedback
7. High-Dimensional Continuous Control Using Generalized Advantage Estimation
8. Measuring Massive Multitask Language Understanding
9. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
10. A General Language Assistant as a Laboratory for Alignment

Their papers

• ODIN: Disentangled Reward Mitigates Hacking in RLHF (2024) — 129 citations