Siddarth Singh

Researcher, InstaDeep

Joined

September 2021

Names

Siddarth Singh (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

InstaDeep (instadeep.com)

2022 – Present

MS student

University of the Witwatersrand (wits.ac.za)

2020 – 2022

Undergrad student

University of the Witwatersrand (wits.ac.za)

2016 – 2018

Advisors, Relations & Conflicts

Coworker

Arnu Pretorius

2022 – Present

Coworker

Omayma Mahjoub

2022 – Present

Coworker

Ruan John de Kock

2022 – Present

Coauthor

Benjamin Rosman

2022 – Present

Social

Geraud Nangue Tasse

2022 – Present

Expertise

Reinforcement Learning

2022 – Present

Explainable ML

2022 – Present

Multi Agent Reinforcement Learning

2022 – Present

Publications

Multi-Task Sequence Models Generalize in Offline Multi-Agent Reinforcement Learning
Ulrich Armel Mbou Sob, Omer, Oussama Hidaoui, Siddarth Singh, Juan Claude Formanek, Felix Chalumeau, Omayma Mahjoub, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Louay Ben Nessir, Simon Verster Du Toit, Daniel Rajaonarivonivelomanantsoa, Asim Awad Osman, Arnol Manuel Fokam, Refiloe Shabe, Ulrich Paquet, Arnu Pretorius
- Submitted to ICLR 2026
- Readers: Everyone
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock, Juan Claude Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon Verster Du Toit, Louay Ben Nessir, Refiloe Shabe, Arnol Manuel Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Arnu Pretorius
- NeurIPS 2025 oral
- Readers: Everyone
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Claude Formanek, Omayma Mahjoub, Louay Ben Nessir, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Daniel Rajaonarivonivelomanantsoa, Simon Verster Du Toit, Arnol Manuel Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Felix Chalumeau, Arnu Pretorius
- NeurIPS 2025 poster
- Readers: Everyone
SMX: Sequential Monte Carlo Planning for Expert Iteration
Edan Toledo, Matthew Macfarlane, Donal John Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre
- FoRLaC Poster
- Readers: Everyone
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
Wiem Khlifi, Siddarth Singh, Omayma Mahjoub, Ruan John de Kock, Abidine Vall, Rihab Gorsane, Arnu Pretorius
- XAI4DRL
- Readers: Everyone
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Siddarth Singh, Omayma Mahjoub, Ruan John de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius
- XAI4DRL
- Readers: Everyone
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub, Ruan John de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Rihab Gorsane, Arnu Pretorius
- XAI4DRL
- Readers: Everyone
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal John Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Petrus Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Neil Waters, Mohamed Ali Ali Mimouni, Ulrich Armel Mbou Sob, Ruan John de Kock, Siddarth Singh et al. (4 additional authors not shown)
- ICLR 2024 poster
- Readers: Everyone
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub, Ruan John de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Rihab Gorsane, Arnu Pretorius
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Past to Present: Assessing Evaluation in Multi-agent Reinforcement Learning
Siddarth Singh, Omayma Mahjoub, Ruan John de Kock, Arnu Pretorius, Wiem Khlifi, Abidine Vall, Kale-ab Tessera
- DeepLearningIndaba 2023 Conference Submission
- Readers: Everyone

View all 11 publications

Co-Authors

View all 40 co-authors