Acrobot

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 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.

• Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agents
  18 Apr 2017 6 repositories listed
  This paper outlines a methodological approach for designing adaptive agents driving themselves near points of criticality.
• RobotDiffuse: Motion Planning for Redundant Manipulator based on Diffusion Model
  27 Dec 2024 1 repository listed
  This paper introduces RobotDiffuse, a diffusion model-based approach for motion planning in redundant manipulators.
• Signal Novelty Detection as an Intrinsic Reward for Robotics
  14 Apr 2023 1 repository listed
  In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment.
• Total energy-shaping control for mechanical systems via Control-by-Interconnection
  10 Jan 2023 1 repository listed
  In this work, it is shown that total energy-shaping control of under-actuated mechanical systems has a control-by-interconnection interpretation.
• Adaptive Online Value Function Approximation with Wavelets
  22 Apr 2022 1 repository listed
  We further demonstrate that a fixed wavelet basis set performs comparably against the high-performing Fourier basis on Mountain Car and Acrobot, and that the adaptive methods provide a convenient approach to addressing…
• Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
  5 Feb 2022 1 repository listed
  In this paper, we approach the task of transfer learning between domains that differ in action spaces.
• Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
  24 Jul 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  We contribute to micro-data model-based reinforcement learning (MBRL) by rigorously comparing popular generative models using a fixed (random shooting) control agent.
• Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
  24 Jan 2021 1 repository listed
  This work explores learning agent-agnostic synthetic environments (SEs) for Reinforcement Learning.
• Meta-learning curiosity algorithms
  11 Mar 2020 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We hypothesize that curiosity is a mechanism found by evolution that encourages meaningful exploration early in an agent's life in order to expose it to experiences that enable it to obtain high rewards over the course…
• Adaptation to criticality through organizational invariance in embodied agents
  13 Dec 2017 1 repository listed
  In order to explore how criticality might emerge from general adaptive mechanisms, we propose a simple learning rule that maintains an internal organizational structure from a specific family of systems at criticality.

Syntology lines on 2 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.