Reinforcement-Learning

Discrete Codebook World Models featured image

Discrete Codebook World Models

In reinforcement learning (RL), world models serve as internal simulators, enabling agents to predict environment dynamics and future outcomes in order to make informed decisions. …

Aidan Scannell
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iQRL: Implicitly Quantized Representations for Sample-Efficient Reinforcement Learning featured image

iQRL: Implicitly Quantized Representations for Sample-Efficient Reinforcement Learning

I will be presenting our research on self-supervised representation learning for reinforcement learning at the [International Workshop of Intelligent Autonomous Learning Systems …

Aidan Scannell
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Model-Based Reinforcement Learning featured image

Model-Based Reinforcement Learning

I'll be giving a lecture on model-based RL at the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2024.

Aidan Scannell
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