<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Article-Journal | Steve James</title><link>https://sdjames.me/publication-type/article-journal/</link><atom:link href="https://sdjames.me/publication-type/article-journal/index.xml" rel="self" type="application/rss+xml"/><description>Article-Journal</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://sdjames.me/media/icon_huf407e28faea15ab880cdbc1ef97b5c3b_31359_512x512_fill_lanczos_center_3.png</url><title>Article-Journal</title><link>https://sdjames.me/publication-type/article-journal/</link></image><item><title>PyCRM: A Python library for reward machine-based reinforcement learning</title><link>https://sdjames.me/publication/bester-2026-pycrm/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/bester-2026-pycrm/</guid><description/></item><item><title>An Unreasonably Simple Approach to Safe RL</title><link>https://sdjames.me/publication/nangue-2026-unreasonably/</link><pubDate>Sat, 15 Aug 2026 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/nangue-2026-unreasonably/</guid><description/></item><item><title>Weighted Composition for Entropy-regularised Reinforcement Learning</title><link>https://sdjames.me/publication/nyabadza-2026-weighted/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/nyabadza-2026-weighted/</guid><description/></item><item><title>Strengthening Robotics and Automation in Africa: Highlights of ICRA@40-Africa</title><link>https://sdjames.me/publication/makondo-2025-strengthening/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/makondo-2025-strengthening/</guid><description/></item><item><title>Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning</title><link>https://sdjames.me/publication/nangue-2025-composition/</link><pubDate>Thu, 17 Apr 2025 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/nangue-2025-composition/</guid><description/></item><item><title>Compositional Instruction Following with Language Models and Reinforcement Learning</title><link>https://sdjames.me/publication/cohen-2024-compositional/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/cohen-2024-compositional/</guid><description/></item><item><title>MiDaS: A Large-Scale Minecraft Dataset for Non-Natural Image Benchmarking</title><link>https://sdjames.me/publication/torpey-2024-midas/</link><pubDate>Mon, 05 Feb 2024 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/torpey-2024-midas/</guid><description/></item><item><title>Hierarchically Composing Level Generators for the Creation of Complex Structures</title><link>https://sdjames.me/publication/beukman-2023-hierarchically/</link><pubDate>Fri, 21 Jul 2023 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/beukman-2023-hierarchically/</guid><description/></item><item><title>Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations</title><link>https://sdjames.me/publication/pacheck-2023-automatic/</link><pubDate>Tue, 23 May 2023 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/pacheck-2023-automatic/</guid><description/></item><item><title>Investigating Transfer Learning in Graph Neural Networks</title><link>https://sdjames.me/publication/kooverjee-2022-investigating/</link><pubDate>Sat, 09 Apr 2022 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/kooverjee-2022-investigating/</guid><description/></item><item><title>If Dropout Limits Trainable Depth, Does Critical Initialisation Still Matter? A Large-scale Statistical Analysis on ReLU Networks</title><link>https://sdjames.me/publication/pretorius-2020-if/</link><pubDate>Sun, 28 Jun 2020 00:00:00 +0000</pubDate><guid>https://sdjames.me/publication/pretorius-2020-if/</guid><description/></item></channel></rss>