NetHack

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (28 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• The NetHack Learning Environment
  24 Jun 2020 3 repositories listed Syntology ran 1 of 11 samples · 10 unverified · 3 pointer-only (licence)
  Here, we present the NetHack Learning Environment (NLE), a scalable, procedurally generated, stochastic, rich, and challenging environment for RL research based on the popular single-player terminal-based roguelike…
• Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning
  23 Jul 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In this paper, we investigate how skills can be incorporated into the training of reinforcement learning (RL) agents in complex environments with large state-action spaces and sparse rewards.
• CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
  19 Oct 2021 2 repositories listed
  In this work, we present CORA, a platform for Continual Reinforcement Learning Agents that provides benchmarks, baselines, and metrics in a single code package.
• BeBold: Exploration Beyond the Boundary of Explored Regions
  15 Dec 2020 2 repositories listed
  In this paper, we analyze the pros and cons of each method and propose the regulated difference of inverse visitation counts as a simple but effective criterion for IR.
• Syllabus: Portable Curricula for Reinforcement Learning Agents
  18 Nov 2024 1 repository listed
  Syllabus provides a universal API for curriculum learning algorithms, implementations of popular curriculum learning methods, and infrastructure for easily integrating them with distributed training code written in…
• Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
  30 Oct 2024 1 repository listed Syntology ran 0 of 12 samples · 12 unverified · 12 pointer-only (licence)
  Our approach annotates the agent's collected experience via an asynchronous LLM server, which is then distilled into an intrinsic reward model.
• PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
  11 Jun 2024 1 repository listed
  You have an environment, a model, and a reinforcement learning library that are designed to work together but don't.
• Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents
  1 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  In contrast, agents tested in dynamic robot environments face limitations due to simplistic environments with only a few objects and interactions.
• Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
  26 Feb 2024 1 repository listed Syntology ran 2 of 16 samples · 14 unverified
  Either they are too slow for meaningful research to be performed without enormous computational resources, like Crafter, NetHack and Minecraft, or they are not complex enough to pose a significant challenge, like…
• Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
  5 Feb 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  We evaluate our method in the classic videogame NetHack and the text environment ScienceWorld to demonstrate SSO's ability to optimize a set of skills and perform in-context policy improvement.
• Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
  5 Feb 2024 1 repository listed
  Fine-tuning is a widespread technique that allows practitioners to transfer pre-trained capabilities, as recently showcased by the successful applications of foundation models.
• diff History for Neural Language Agents
  12 Dec 2023 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  On NetHack, an unsolved video game that requires long-horizon reasoning for decision-making, LMs tuned with diff history match state-of-the-art performance for neural agents while needing 1800x fewer training examples…
• Motif: Intrinsic Motivation from Artificial Intelligence Feedback
  29 Sep 2023 1 repository listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  Exploring rich environments and evaluating one's actions without prior knowledge is immensely challenging.
• Scaling Laws for Imitation Learning in Single-Agent Games
  18 Jul 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Inspired by recent work in Natural Language Processing (NLP) where "scaling up" has resulted in increasingly more capable LLMs, we investigate whether carefully scaling up model and data size can bring similar…
• LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents
  17 Jul 2023 1 repository listed
  In the last few decades we have witnessed a significant development in Artificial Intelligence (AI) thanks to the availability of a variety of testbeds, mostly based on simulated environments and video games.
• Katakomba: Tools and Benchmarks for Data-Driven NetHack
  14 Jun 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  NetHack is known as the frontier of reinforcement learning research where learning-based methods still need to catch up to rule-based solutions.
• Dungeons and Data: A Large-Scale NetHack Dataset
  1 Nov 2022 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Recent breakthroughs in the development of agents to solve challenging sequential decision making problems such as Go, StarCraft, or DOTA, have relied on both simulated environments and large-scale datasets.
• Improving Policy Learning via Language Dynamics Distillation
  30 Sep 2022 1 repository listed Syntology ran 2 of 8 samples · 6 unverified · 4 pointer-only (licence)
  Recent work has shown that augmenting environments with language descriptions improves policy learning.
• Insights From the NeurIPS 2021 NetHack Challenge
  22 Mar 2022 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  In this report, we summarize the takeaways from the first NeurIPS 2021 NetHack Challenge.
• NovelD: A Simple yet Effective Exploration Criterion
  1 Dec 2021 1 repository listed
  We analyze NovelD thoroughly in MiniGrid and found that empirically it helps the agent explore the environment more uniformly with a focus on exploring beyond the boundary.
• SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
  20 Oct 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  We hope SILG enables the community to quickly identify new methodologies for language grounding that generalize to a diverse set of environments and their associated challenges.
• MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
  27 Sep 2021 1 repository listed
  By leveraging the full set of entities and environment dynamics from NetHack, one of the richest grid-based video games, MiniHack allows designing custom RL testbeds that are fast and convenient to use.

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.