Discrete Codebook World Models for Continuous Control
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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1 min read
Quantized Representations Prevent Dimensional Collapse in Self-predictive RL
Implicitly Quantized Representations for Reinforcement Learning
Learning representations for reinforcement learning (RL) has shown much promise for continuous control. In this project, we investigate using vector quantization to prevent …
Aidan Scannell
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1 min read