Tim Rocktäschel

About Tim Rocktäschel

Tim Rocktäschel, With an exceptional h-index of 46 and a recent h-index of 42 (since 2020), a distinguished researcher at University College London, specializes in the field of Artificial Intelligence, Open-Endedness, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genie: Generative Interactive Environments

Debating with More Persuasive LLMs Leads to More Truthful Answers

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

H-GAP: Humanoid Control with a Generalist Planner

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

Multi-Agent Diagnostics for Robustness via Illuminated Diversity

Scaling Opponent Shaping to High Dimensional Games

Tim Rocktäschel Information

University

Position

Research Scientist at Facebook AI Research Lecturer at

Citations(all)

11548

Citations(since 2020)

10041

Cited By

3737

hIndex(all)

46

hIndex(since 2020)

42

i10Index(all)

70

i10Index(since 2020)

64

Email

University Profile Page

Google Scholar

Tim Rocktäschel Skills & Research Interests

Artificial Intelligence

Open-Endedness

Reinforcement Learning

Top articles of Tim Rocktäschel

Debating with More Persuasive LLMs Leads to More Truthful Answers

arXiv preprint arXiv:2402.06782

2024/2/9

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

arXiv preprint arXiv:2309.16797

2023/9/28

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

2024/5/11

H-GAP: Humanoid Control with a Generalist Planner

2024/5/8

Multi-Agent Diagnostics for Robustness via Illuminated Diversity

2024/5/6

Scaling Opponent Shaping to High Dimensional Games

2024/5/6

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

Leading the Pack: N-player Opponent Shaping

2023/12/9

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

Mix-ME: Quality-Diversity for Multi-Agent Learning

2023/12/9

minimax: Efficient Baselines for Autocurricula in JAX

2023/12/9

Minqi Jiang
Minqi Jiang

H-Index: 2

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

Stabilizing Unsupervised Environment Design with a Learned Adversary

2023/8/22

Do LLMs Selectively Encode the Goal of an Agent's Reach?

2023/6/29

Laura Ruis
Laura Ruis

H-Index: 2

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

General Intelligence Requires Rethinking Exploration

Royal Society Open Science

2023/6/1

Minqi Jiang
Minqi Jiang

H-Index: 2

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning

2023/5/2

Efficient Planning in a Compact Latent Action Space

2023/5/1

A Survey of Zero-Shot Generalisation in Deep Reinforcement Learning

JAIR

2023/1/9

Amy Zhang
Amy Zhang

H-Index: 3

Tim Rocktäschel
Tim Rocktäschel

H-Index: 27

See List of Professors in Tim Rocktäschel University(University College London)

Co-Authors

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