Geraud Nangue Tasse

About Geraud Nangue Tasse

Geraud Nangue Tasse, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of the Witwatersrand, specializes in the field of Reinforcement Learning, Deep Learning, Machine Learning.

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

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning

Compositional Instruction Following with Language Models and Reinforcement Learning

ROSARL: Reward-Only Safe Reinforcement Learning

End-to-End Learning to Follow Language Instructions with Compositional Policies

World Value Functions: Knowledge Representation for Learning and Planning

Hierarchical Reinforcement Learning with AI Planning Models

Learning to Follow Language Instructions with Compositional Policies

Geraud Nangue Tasse Information

University

Position

___

Citations(all)

83

Citations(since 2020)

83

Cited By

2

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Geraud Nangue Tasse Skills & Research Interests

Reinforcement Learning

Deep Learning

Machine Learning

Top articles of Geraud Nangue Tasse

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure

arXiv preprint arXiv:2312.11364

2023/12/18

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning

2023/10/13

Compositional Instruction Following with Language Models and Reinforcement Learning

2023/10/13

ROSARL: Reward-Only Safe Reinforcement Learning

arXiv preprint arXiv:2306.00035

2023/5/31

End-to-End Learning to Follow Language Instructions with Compositional Policies

2022/11/15

World Value Functions: Knowledge Representation for Learning and Planning

2022/6/23

Hierarchical Reinforcement Learning with AI Planning Models

arXiv preprint arXiv:2203.00669

2022/3/1

Learning to Follow Language Instructions with Compositional Policies

2021/10/9

Generalisation in Lifelong Reinforcement Learning through Logical Composition

2021/9/29

Logical Composition in Lifelong Reinforcement Learning

2020/6/12

A task algebra for agents in reinforcement learning

2020/1

A boolean task algebra for reinforcement learning

Advances in Neural Information Processing Systems

2020

See List of Professors in Geraud Nangue Tasse University(University of the Witwatersrand)

Co-Authors

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