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Sam Devlin

25 papers hereh-index 262.7k citations97 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author20
  • last author4

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.AI9
  • cs.MA2
  • cs.HC1
same name
  • Sam Devlin — 7 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

58 citations · 215 across the 22 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 2 cited

UniMASK: Unified Inference in Sequential Decision Problems

Micah Carroll, Orr Paradise, Jessy Lin +8

Randomly masking and predicting word tokens has been a successful approach in pre-training language models for a variety of downstream tasks. In this work, we observe that the same…

cs.LG2022★ 1 cited

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers

Micah Carroll, Jessy Lin, Orr Paradise +8

Randomly masking and predicting word tokens has been a successful approach in pre-training language models for a variety of downstream tasks. In this work, we observe that the same…

cs.LG2022★ 1 cited

Trust Region Bounds for Decentralized PPO Under Non-stationarity

Mingfei Sun, Sam Devlin, Jacob Beck +2

We present trust region bounds for optimizing decentralized policies in cooperative Multi-Agent Reinforcement Learning (MARL), which holds even when the transition dynamics are non…

cs.LG2022★ 7 cited

You May Not Need Ratio Clipping in PPO

Mingfei Sun, Vitaly Kurin, Guoqing Liu +4

Proximal Policy Optimization (PPO) methods learn a policy by iteratively performing multiple mini-batch optimization epochs of a surrogate objective with one set of sampled data. R…

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