research
∙
09/13/2023
Human-Robot Co-Creativity: A Scoping Review – Informing a Research Agenda for Human-Robot Co-Creativity with Older Adults
This review is the first step in a long-term research project exploring ...
share
research
∙
09/04/2023
Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Large language models, in particular generative pre-trained transformers...
research
∙
04/20/2023
Two-Memory Reinforcement Learning
While deep reinforcement learning has shown important empirical success,...
research
∙
12/06/2022
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation
Go-Explore achieved breakthrough performance on challenging reinforcemen...
research
∙
11/28/2022
Continuous Episodic Control
Non-parametric episodic memory can be used to quickly latch onto high-re...
research
∙
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...
research
∙
03/07/2022
On Credit Assignment in Hierarchical Reinforcement Learning
Hierarchical Reinforcement Learning (HRL) has held longstanding promise ...
research
∙
03/02/2022
Reliable validation of Reinforcement Learning Benchmarks
Reinforcement Learning (RL) is one of the most dynamic research areas in...
research
∙
09/10/2021
Potential-based Reward Shaping in Sokoban
Learning to solve sparse-reward reinforcement learning problems is diffi...
research
∙
07/17/2021
High-Accuracy Model-Based Reinforcement Learning, a Survey
Deep reinforcement learning has shown remarkable success in the past few...
research
∙
06/29/2021
Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
This paper surveys the field of multiagent deep reinforcement learning. ...
research
∙
05/31/2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning
The idea of transfer in reinforcement learning (TRL) is intriguing: bein...
research
∙
05/25/2021
Transfer Learning and Curriculum Learning in Sokoban
Transfer learning can speed up training in machine learning and is regul...
research
∙
05/13/2021
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
AlphaZero has achieved impressive performance in deep reinforcement lear...
research
∙
04/21/2021
Stateless Neural Meta-Learning using Second-Order Gradients
Deep learning typically requires large data sets and much compute power ...
research
∙
02/25/2021
Visualizing MuZero Models
MuZero, a model-based reinforcement learning algorithm that uses a value...
research
∙
10/13/2020
Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
The general problem in this paper is vertex (node) subset selection with...
research
∙
10/07/2020
A Survey of Deep Meta-Learning
Deep neural networks can achieve great successes when presented with lar...
research
∙
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...
research
∙
06/14/2020
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning
Morpion Solitaire is a popular single player game, performed with paper ...
research
∙
05/19/2020
The Second Type of Uncertainty in Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...
research
∙
04/26/2020
Warm-Start AlphaZero Self-Play Search Enhancements
Recently, AlphaZero has achieved landmark results in deep reinforcement ...
research
∙
04/01/2020
A New Challenge: Approaching Tetris Link with AI
Decades of research have been invested in making computer programs for p...
research
∙
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...
research
∙
03/21/2019
Fault-Tolerant Nanosatellite Computing on a Budget
Micro- and nanosatellites have become popular platforms for a variety of...
research
∙
03/19/2019
Hyper-Parameter Sweep on AlphaZero General
Since AlphaGo and AlphaGo Zero have achieved breakground successes in th...
research
∙
02/22/2019
Dynamic Fault Tolerance Through Resource Pooling
Miniaturized satellites are currently not considered suitable for critic...
research
∙
10/14/2018
Assessing the Potential of Classical Q-learning in General Game Playing
After the recent groundbreaking results of AlphaGo and AlphaZero, we hav...
research
∙
05/24/2018
A0C: Alpha Zero in Continuous Action Space
A core novelty of Alpha Zero is the interleaving of tree search and deep...
research
∙
05/23/2018
Monte Carlo Tree Search for Asymmetric Trees
We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...
research
∙
02/16/2018
Monte Carlo Q-learning for General Game Playing
Recently, the interest in reinforcement learning in game playing has bee...
research
∙
08/23/2017
Bringing Fault-Tolerant GigaHertz-Computing to Space: A Multi-Stage Software-Side Fault-Tolerance Approach for Miniaturized Spacecraft
Modern embedded technology is a driving factor in satellite miniaturizat...
research
∙
04/02/2017
Structured Parallel Programming for Monte Carlo Tree Search
In this paper, we present a new algorithm for parallel Monte Carlo tree ...
research
∙
02/11/2017
A Minimax Algorithm Better Than Alpha-beta?: No and Yes
This paper has three main contributions to our understanding of fixed-de...
research
∙
09/28/2015
Ensemble UCT Needs High Exploitation
Recent results have shown that the MCTS algorithm (a new, adaptive, rand...
research
∙
05/07/2015
Best-First and Depth-First Minimax Search in Practice
Most practitioners use a variant of the Alpha-Beta algorithm, a simple d...
research
∙
04/11/2015
Data Science and Ebola
Data Science---Today, everybody and everything produces data. People pro...
research
∙
09/18/2014
Why Local Search Excels in Expression Simplification
Simplifying expressions is important to make numerical integration of la...
research
∙
05/25/2014
HEPGAME and the Simplification of Expressions
Advances in high energy physics have created the need to increase comput...
research
∙
04/05/2014
Nearly Optimal Minimax Tree Search?
Knuth and Moore presented a theoretical lower bound on the number of lea...
research
∙
04/05/2014
SSS* = Alpha-Beta + TT
In 1979 Stockman introduced the SSS* minimax search algorithm that domi-...
research
∙
04/05/2014
A New Paradigm for Minimax Search
This paper introduces a new paradigm for minimax game-tree search algo- ...
research
∙
04/05/2014
MTD(f), A Minimax Algorithm Faster Than NegaScout
MTD(f) is a new minimax search algorithm, simpler and more efficient tha...
research
∙
12/03/2013
