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09/19/2023
Believable Minecraft Settlements by Means of Decentralised Iterative Planning
Procedural city generation that focuses on believability and adaptabilit...
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08/10/2023
Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning
Retrosynthesis consists of breaking down a chemical compound recursively...
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04/20/2023
Two-Memory Reinforcement Learning
While deep reinforcement learning has shown important empirical success,...
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12/06/2022
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation
Go-Explore achieved breakthrough performance on challenging reinforcemen...
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11/28/2022
Continuous Episodic Control
Non-parametric episodic memory can be used to quickly latch onto high-re...
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05/23/2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization
At first sight it may seem straightforward to use recurrent layers in De...
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05/10/2022
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
Autonomously trained agents that are supposed to play video games reason...
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03/29/2022
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Go-Explore achieved breakthrough performance on challenging reinforcemen...
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03/02/2022
Reliable validation of Reinforcement Learning Benchmarks
Reinforcement Learning (RL) is one of the most dynamic research areas in...
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09/10/2021
Potential-based Reward Shaping in Sokoban
Learning to solve sparse-reward reinforcement learning problems is diffi...
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08/06/2021
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
The GDMC AI settlement generation challenge is a PCG competition about p...
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07/17/2021
High-Accuracy Model-Based Reinforcement Learning, a Survey
Deep reinforcement learning has shown remarkable success in the past few...
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05/31/2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning
The idea of transfer in reinforcement learning (TRL) is intriguing: bein...
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05/25/2021
Transfer Learning and Curriculum Learning in Sokoban
Transfer learning can speed up training in machine learning and is regul...
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05/13/2021
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
AlphaZero has achieved impressive performance in deep reinforcement lear...
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05/10/2021
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
More and more, optimization methods are used to find diverse solution se...
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08/25/2020
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP)
Live Action Role-Playing (LARP) games and similar experiences are becomi...
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08/11/2020
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey
Deep reinforcement learning has shown remarkable success in the past few...
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06/14/2020
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning
Morpion Solitaire is a popular single player game, performed with paper ...
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04/29/2020
Versatile Black-Box Optimization
Choosing automatically the right algorithm using problem descriptors is ...
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04/26/2020
Warm-Start AlphaZero Self-Play Search Enhancements
Recently, AlphaZero has achieved landmark results in deep reinforcement ...
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04/01/2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
The Obstacle Tower Challenge is the task to master a procedurally genera...
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04/01/2020
A New Challenge: Approaching Tetris Link with AI
Decades of research have been invested in making computer programs for p...
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03/17/2020
FakeYou! – A Gamified Approach for Building and Evaluating Resilience Against Fake News
Nowadays fake news are heavily discussed in public and political debates...
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03/12/2020
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
The landmark achievements of AlphaGo Zero have created great research in...
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02/24/2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
This paper reviews the field of Game AI, which not only deals with creat...
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03/19/2019
Hyper-Parameter Sweep on AlphaZero General
Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...
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08/14/2017
Learning to Plan Chemical Syntheses
From medicines to materials, small organic molecules are indispensable f...
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04/19/2017
The True Destination of EGO is Multi-local Optimization
Efficient global optimization is a popular algorithm for the optimizatio...
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01/31/2017
