Increasing Generality in Machine Learning through Procedural Content Generation

29 November 2019

Papers citing "Increasing Generality in Machine Learning through Procedural Content Generation"

19 / 19 papers shown

Title
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
Measuring Diversity of Game Scenarios Yuchen Li Ziqi Wang Qingquan Zhang Jialin Liu Jiaheng Liu 63 2 0 17 Jan 2025
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 69 1 0 26 May 2024
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents J. Pedersen Erwan Plantec Eleni Nisioti Milton L. Montero Sebastian Risi 55 1 0 06 Apr 2024
PCGPT: Procedural Content Generation via Transformers Sajad Mohaghegh Mohammad Amin Ramezan Dehnavi Golnoosh Abdollahinejad Matin Hashemi ViT 18 2 0 03 Oct 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 108 0 18 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 19 83 0 14 Dec 2022
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans Phillip Isola OffRL 44 9 0 23 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 55 8 0 23 Oct 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 38 4 0 13 Jul 2022
Deep Surrogate Assisted Generation of Environments Varun Bhatt Bryon Tjanaka Matthew C. Fontaine Stefanos Nikolaidis 53 35 0 09 Jun 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 117 0 02 Mar 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 129 95 0 06 Oct 2021
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 41 0 0 05 Aug 2021
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study Tianye Shu Jialin Liu Georgios N. Yannakakis 27 40 0 30 Jun 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error Miguel González Duque Rasmus Berg Palm David R Ha S. Risi 25 32 0 15 May 2020
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 65 230 0 02 May 2018
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 234 809 0 13 Nov 2016