Reinforcement-Learning

Mode-Constrained Exploration for Model-Based Reinforcement Learning

This work presents a learning-based control method for navigating to a target state in unknown, or partially unknown, multimodal dynamical systems. In particular, it develops a …

Aidan Scannell

• 24 Sep, 2022 • 1 min read

Machine-Learning

PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems

Mode remaining navigation (and exploration) in unknown multimodal dynamical systems via model-based reinforcement learning.

Aidan Scannell

• 24 Sep, 2022 • 1 min read

Reinforcement-Learning

Aalto RL Reading Club: Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One Objective

Aidan Scannell

• 23 Sep, 2022 • 1 min read

Gaussian-Processes

Model-Based Reinforcement Learning with Gaussian Processes

In this work I re-implemented the PILCO algorithm in python using Tensorflow and GPflow. This work was mainly carried out for personal development and some of the implementation is …

Aidan Scannell

• 13 Mar, 2019 • 1 min read