UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab
The UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab is a Reinforcement Learning research group at the UCL Centre for Artificial Intelligence. We focus on research in complex open-ended environments that provide a constant stream of novel observations without reliable reward functions, often requiring agents to create their own curricula and to deal with external knowledge, natural language, and hard exploration problems.
News
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25/09/2024:
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts has been accepted to NeurIPS 2024.
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25/09/2024:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX has been accepted to NeurIPS 2024.
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23/07/2024:
We have been awarded two Best Paper Awards at ICML 2024 for Genie: Generative Interactive Environments and Debating with More Persuasive LLMs Leads to More Truthful Answers!
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10/07/20:
8 papers accepted at ICML 2024, including 3 Orals! Check out here for more details.
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19/02/2024:
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control has been accepted to ICRA 2024 (oral).
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19/02/2024:
H-GAP: Humanoid Control with a Generalist Planner has been accepted to ICLR 2024 (spotlight).
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19/02/2024:
Understanding the Effects of RLHF on LLM Generalisation and Diversity, Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks and Reward Model Ensembles Help Mitigate Overoptimization have been accepted to ICLR 2024.
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18/02/2024:
Multi-Agent Diagnostics for Robustness via Illuminated Diversity has been accepted to AAMAS 2024 (oral).
Faculty
PhD Students
MSc Students
Past PhD Students
Other Alumni
Hannah Teufel
MSc Student (2021)
Yuchen Zhu
MSc Student (2019—2020)
Next a PhD student at UCL
Joe Stacey
MSc Student (2019)
