1. Deep Coherent Exploration for Continuous Control

Yijie Zhang, Herke van Hoof

International Conference on Machine Learning (ICML), 2021

[Paper][Supplementary][Video][Slides]

  1. Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games

Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Neural Computing and Applications, 2021

[Paper]

  1. On the Inconsistency of Bayesian Inference for Misspecified Neural Networks

Yijie Zhang, Eric Nalisnick

Symposium on Advances in Approximate Bayesian Inference (AABI), 2021

[Paper][Video][Slides]

  1. A utility-based analysis of equilibria in multi-objective normal form games

Roxana Rădulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé

The Knowledge Engineering Review, 2020

[Paper]

  1. Opponent Modelling using Policy Reconstruction for Multi-Objective Normal Form Games

Yijie Zhang, Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Adaptive and Learning Agents Workshop (ALA), International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2020

[Paper][Slides]

  1. Opponent modelling for reinforcement learning in multi-objective normal form games

Yijie Zhang, Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé

International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2020

[Paper]