4 citations · 4 across the 5 of their papers we have counts for
6 papers
Tiny Moves: Game-based Hypothesis Refinement
Agnieszka Dobrowolska, Rogier Hintzen, Martin Balla +6
Most machine learning approaches to scientific discovery frame hypotheses as end-to-end predictions, obscuring the incremental structure of scientific reasoning. We propose The Hyp…
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning
Martin Balla, George E. M. Long, James Goodman +2
Modern Tabletop Games present various interesting challenges for Multi-agent Reinforcement Learning. In this paper, we introduce PyTAG, a new framework that supports interacting wi…
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Martin Balla, George E. M. Long, Dominik Jeurissen +3
In recent years, Game AI research has made important breakthroughs using Reinforcement Learning (RL). Despite this, RL for modern tabletop games has gained little to no attention,…
Task Relabelling for Multi-task Transfer using Successor Features
Martin Balla, Diego Perez-Liebana
Deep Reinforcement Learning has been very successful recently with various works on complex domains. Most works are concerned with learning a single policy that solves the target t…
Design and Implementation of TAG: A Tabletop Games Framework
Raluca D. Gaina, Martin Balla, Alexander Dockhorn +2
This document describes the design and implementation of the Tabletop Games framework (TAG), a Java-based benchmark for developing modern board games for AI research. TAG provides…
Evaluating Generalisation in General Video Game Playing
Martin Balla, Simon M. Lucas, Diego Perez-Liebana
The General Video Game Artificial Intelligence (GVGAI) competition has been running for several years with various tracks. This paper focuses on the challenge of the GVGAI learning…