Projects

If you are an Artificial Intelligence student at the University of Groningen and are keen on pursuing your bachelor’s or master’s thesis with me as your supervisor within the field of reinforcement learning (RL), please don’t hesitate to reach out.

Kindly email me with:

• Brief CV
• Motivation letter (ranging from 1/2 to 1 page)
  1. Specify the projects you are interested in or suggest a project within the RL field.
  2. Mention your intended start date.
  3. Describe any relevant experiences you might have.

Please note that prior knowledge in RL is NOT a prerequisite.

current

Transfer and primacy Bias

Is negative transfer in DRL related to primacy bias?

Transfer in multi-objective environments

Transfer learning using successor features interpreted as a multi-objectve problem

Transfer learning in multi-agent RL settings

Finding and simulating a set of policies to transfer learning in multi-agent reinforcement learning settings

Task-agnostic exploration for sparse reward environments

Combine task-agnostic exploration techniques with RL algorithms to solve sparse reward environments

CityLearn Chalenge 2023. Control Track.

CityLearn Challenge 2023. Using AI for Building's Energy Management.

Faithfulness of explanations in deep reinforcement learning

Are input attribution methods applied to deep reinforcement learning agents faithful to the policy learned?

old

MARL

Game Theory and Multi-agent Reinforcement Learning