projects
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Hamiltonian Variational Auto-Encoder
Combining Hamiltonian Importance Sampling with Variational Auto-Encoders.
2024deep generative models, importance sampling, hamiltonian monte carlo, normalizing flow
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Modelling Inequity Aversion with Multi-Agent Reinforcement Learning
Exploring population dynamics of agents with inequity aversion in sequential social dilemmas.
2024reinforcement learning, game theory, social psychology
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Dope of Dopamine
We used a house of distributional RL algorithms (e.g., QR, C51) to play games.
2023reinforcement learning, distributional RL, uncertainty, decision
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BanditPrompt
We used novelty search and adaptive bandit-selected emitters to optimise black-box diffusion model APIs.
2025diversity, novelty search, LLM, evolutionary algorithms, bandits, black-box optimisation