Behavioural cloning

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets 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

16 shown of 16 papers with code (45 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.

• A Divergence Minimization Perspective on Imitation Learning Methods
  6 Nov 2019 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  We present f-MAX, an f-divergence generalization of AIRL [Fu et al., 2018], a state-of-the-art IRL method.
• Explorative Imitation Learning: A Path Signature Approach for Continuous Environments
  5 Jul 2024 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Some imitation learning methods combine behavioural cloning with self-supervision to infer actions from state pairs.
• Self-Supervised Adversarial Imitation Learning
  21 Apr 2023 2 repositories listed
  We address this limitation by incorporating a discriminator into the original framework, offering two key advantages and directly solving a learning problem previous work had.
• Action Advising with Advice Imitation in Deep Reinforcement Learning
  17 Apr 2021 2 repositories listed
  Action advising is a peer-to-peer knowledge exchange technique built on the teacher-student paradigm to alleviate the sample inefficiency problem in deep reinforcement learning.
• Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
  9 Apr 2021 2 repositories listed
  This paper describes an AI agent that plays the popular first-person-shooter (FPS) video game `Counter-Strike; Global Offensive' (CSGO) from pixel input.
• Imitating Unknown Policies via Exploration
  13 Aug 2020 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Behavioral cloning is an imitation learning technique that teaches an agent how to behave through expert demonstrations.
• Augmented Behavioral Cloning from Observation
  28 Apr 2020 2 repositories listed
  Imitation from observation is a computational technique that teaches an agent on how to mimic the behavior of an expert by observing only the sequence of states from the expert demonstrations.
• Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-grained Timescales
  4 Nov 2024 1 repository listed
  Additionally, manually crafting a reward function is the usual method of building a performance indicator, which is labor-intensive and time-consuming.
• EvIL: Evolution Strategies for Generalisable Imitation Learning
  15 Jun 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Often times in imitation learning (IL), the environment we collect expert demonstrations in and the environment we want to deploy our learned policy in aren't exactly the same (e.
• Policy Improvement using Language Feedback Models
  12 Feb 2024 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  We introduce Language Feedback Models (LFMs) that identify desirable behaviour - actions that help achieve tasks specified in the instruction - for imitation learning in instruction following.
• OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
  7 Feb 2024 1 repository listed
  Our offline learning model is an adaptation of behavioural cloning with a transformer policy network, where we modify the training process to learn a Q function and a state value function from normal trajectories.
• Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning
  26 Mar 2023 1 repository listed
  Offline reinforcement learning agents seek optimal policies from fixed data sets.
• A Pragmatic Look at Deep Imitation Learning
  4 Aug 2021 1 repository listed
  The introduction of the generative adversarial imitation learning (GAIL) algorithm has spurred the development of scalable imitation learning approaches using deep neural networks.
• Playing Minecraft with Behavioural Cloning
  7 May 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  MineRL 2019 competition challenged participants to train sample-efficient agents to play Minecraft, by using a dataset of human gameplay and a limit number of steps the environment.
• Benchmarking End-to-End Behavioural Cloning on Video Games
  2 Apr 2020 1 repository listed
  We take a step towards a general approach and study the general applicability of behavioural cloning on twelve video games, including six modern video games (published after 2010), by using human demonstrations as…
• Deep attention networks reveal the rules of collective motion in zebrafish
  13 Sep 2019 1 repository listed
  When using simulated trajectories, the model recovers the ground-truth interaction rule used to generate them, as well as the number of interacting neighbours.

Syntology lines on 6 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.