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Discrete Codebook World Models for Continuous Control

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Function-space Parameterization of Neural Networks for Sequential Learning

Mode-constrained Model-based Reinforcement Learning via Gaussian Processes

We present a model-based RL algorithm that constrains training to a single dynamic mode with high probability. This is a difficult problem because the mode constraint is a hidden …

Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation

Synergising Bayesian inference and Riemannian geometry for control in multimodal dynamical systems.

Aidan Scannell

• 22 Mar, 2021 • 1 min read

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