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Dungeons and Data: A Large-Scale NetHack Dataset
v1v2v3 (latest)

Dungeons and Data: A Large-Scale NetHack Dataset

Neural Information Processing Systems (NeurIPS), 2022
1 November 2022
Eric Hambro
Roberta Raileanu
Dan Rothermel
Vegard Mella
Tim Rocktaschel
Heinrich Küttler
Naila Murray
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Dungeons and Data: A Large-Scale NetHack Dataset"

12 / 12 papers shown
Title
ProgRM: Build Better GUI Agents with Progress Rewards
ProgRM: Build Better GUI Agents with Progress Rewards
Danyang Zhang
Situo Zhang
Ziyue Yang
Zichen Zhu
Zihan Zhao
Ruisheng Cao
Lu Chen
Kai Yu
227
6
0
23 May 2025
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
BALROG: Benchmarking Agentic LLM and VLM Reasoning On GamesInternational Conference on Learning Representations (ICLR), 2024
Davide Paglieri
Bartłomiej Cupiał
Samuel Coward
Ulyana Piterbarg
Maciej Wolczyk
...
Lerrel Pinto
Rob Fergus
Jakob Foerster
Jack Parker-Holder
Tim Rocktaschel
LLMAGLRM
514
65
0
20 Nov 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation ProblemInternational Conference on Machine Learning (ICML), 2024
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
340
25
0
05 Feb 2024
Emergence of In-Context Reinforcement Learning from Noise Distillation
Emergence of In-Context Reinforcement Learning from Noise Distillation
Ilya Zisman
Vladislav Kurenkov
Alexander Nikulin
Viacheslav Sinii
Sergey Kolesnikov
OffRL
346
24
0
19 Dec 2023
diff History for Neural Language Agents
diff History for Neural Language AgentsInternational Conference on Machine Learning (ICML), 2023
Ulyana Piterbarg
Lerrel Pinto
Rob Fergus
263
3
0
12 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
350
22
0
10 Dec 2023
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
Motif: Intrinsic Motivation from Artificial Intelligence FeedbackInternational Conference on Learning Representations (ICLR), 2023
Martin Klissarov
P. DÓro
Shagun Sodhani
Roberta Raileanu
Pierre-Luc Bacon
Pascal Vincent
Amy Zhang
Mikael Henaff
LRMLLMAG
219
88
0
29 Sep 2023
Scaling Laws for Imitation Learning in Single-Agent Games
Scaling Laws for Imitation Learning in Single-Agent Games
Jens Tuyls
Dhruv Madeka
Kari Torkkola
Dean Phillips Foster
Karthik Narasimhan
Sham Kakade
198
8
0
18 Jul 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents
LuckyMera: a Modular AI Framework for Building Hybrid NetHack AgentsIntelligenza Artificiale (IA), 2023
Luigi Quarantiello
Simone Marzeddu
Antonio Guzzi
Vincenzo Lomonaco
122
0
0
17 Jul 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
Katakomba: Tools and Benchmarks for Data-Driven NetHackNeural Information Processing Systems (NeurIPS), 2023
Vladislav Kurenkov
Alexander Nikulin
Denis Tarasov
Sergey Kolesnikov
OffRL
223
5
0
14 Jun 2023
Hyperparameters in Reinforcement Learning and How To Tune Them
Hyperparameters in Reinforcement Learning and How To Tune ThemInternational Conference on Machine Learning (ICML), 2023
Theresa Eimer
Marius Lindauer
Roberta Raileanu
OffRL
397
69
0
02 Jun 2023
NetHack is Hard to Hack
NetHack is Hard to HackNeural Information Processing Systems (NeurIPS), 2023
Ulyana Piterbarg
Lerrel Pinto
Rob Fergus
191
8
0
30 May 2023
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