default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSteven James 0001
Person information
- affiliation: University of the Witwatersrand, Johannesburg, South Africa
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j4]David Torpey
, Max Parkin, Jonah Alter, Richard Klein, Steven James:
MiDaS: a large-scale Minecraft dataset for non-natural image benchmarking. J. Electronic Imaging 33(1) (2024)- [j3]Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Trans. Games 16(2): 459-469 (2024) - [c14]Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn:
LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization. GECCO 2024 - [c13]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. ICLR 2024 - [i30]Muhammad Umair Nasir, Steven James, Julian Togelius:
Word2World: Generating Stories and Worlds through Large Language Models. CoRR abs/2405.06686 (2024) - [i29]Muhammad Umair Nasir, Steven James, Julian Togelius:
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps. CoRR abs/2410.07765 (2024) - 2023
- [j2]Adam Pacheck, Steven James, George Dimitri Konidaris, Hadas Kress-Gazit:
Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. 42(4-5): 263-288 (2023) - [c12]Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris:
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL 2023: 2278-2287 - [c11]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher W. Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. GECCO Companion 2023: 671-674 - [c10]Nathan Michlo, Richard Klein, Steven James:
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. IJCAI 2023: 4073-4081 - [c9]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS 2023 - [i28]Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. CoRR abs/2302.01561 (2023) - [i27]Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR abs/2306.00035 (2023) - [i26]Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn:
LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. CoRR abs/2306.01102 (2023) - [i25]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR abs/2310.16686 (2023) - [i24]Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse:
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR abs/2312.11364 (2023) - [i23]William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James:
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR abs/2312.12891 (2023) - 2022
- [c8]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural content generation using neuroevolution and novelty search for diverse video game levels. GECCO 2022: 1028-1037 - [c7]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c6]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR 2022 - [i22]Michael Beukman, Steven James, Christopher W. Cleghorn:
Towards Objective Metrics for Procedurally Generated Video Game Levels. CoRR abs/2201.10334 (2022) - [i21]Nishai Kooverjee, Steven James, Terence L. van Zyl:
Investigating Transfer Learning in Graph Neural Networks. CoRR abs/2202.00740 (2022) - [i20]Nathan Michlo, Steven James, Richard Klein:
Data Overlap: A Prerequisite For Disentanglement. CoRR abs/2202.13341 (2022) - [i19]Michael Beukman, Christopher W. Cleghorn, Steven James:
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels. CoRR abs/2204.06934 (2022) - [i18]Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR abs/2204.08327 (2022) - [i17]Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris:
Adaptive Online Value Function Approximation with Wavelets. CoRR abs/2204.11842 (2022) - [i16]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Abstract and Transferable Representations for Planning. CoRR abs/2205.02092 (2022) - [i15]Nathan Michlo, Devon Jarvis, Richard Klein, Steven James:
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. CoRR abs/2205.06000 (2022) - [i14]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. CoRR abs/2205.08827 (2022) - [i13]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR abs/2205.12532 (2022) - [i12]Geraud Nangue Tasse, Benjamin Rosman, Steven James:
World Value Functions: Knowledge Representation for Learning and Planning. CoRR abs/2206.11940 (2022) - [i11]Nicholas Muir, Steven James:
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. CoRR abs/2207.14772 (2022) - [i10]Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn:
Augmentative Topology Agents For Open-Ended Learning. CoRR abs/2210.11442 (2022) - 2021
- [i9]Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman:
Learning to Follow Language Instructions with Compositional Policies. CoRR abs/2110.04647 (2021) - 2020
- [j1]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - [c5]Steven James, Benjamin Rosman, George Konidaris:
Learning Portable Representations for High-Level Planning. ICML 2020: 4682-4691 - [c4]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. NeurIPS 2020 - [i8]Nishai Kooverjee, Steven James, Terence L. van Zyl:
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR abs/2001.00448 (2020) - [i7]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. CoRR abs/2001.01394 (2020) - [i6]Kimessha Paupamah, Steven James, Richard Klein:
Quantisation and Pruning for Neural Network Compression and Regularisation. CoRR abs/2001.04850 (2020) - [i5]Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod:
Learning Options from Demonstration using Skill Segmentation. CoRR abs/2001.06793 (2020)
2010 – 2019
- 2019
- [c3]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Composing Value Functions in Reinforcement Learning. ICML 2019: 6401-6409 - [i4]Craig J. Bester, Steven D. James, George Dimitri Konidaris:
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR abs/1905.04388 (2019) - [i3]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. CoRR abs/1905.12006 (2019) - [i2]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - 2018
- [c2]Steven James:
Learning Portable Symbolic Representations. IJCAI 2018: 5765-5766 - [i1]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR abs/1807.04439 (2018) - 2017
- [c1]Steven James, George Dimitri Konidaris, Benjamin Rosman:
An Analysis of Monte Carlo Tree Search. AAAI 2017: 3576-3582
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-18 20:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
