Imitation Learning

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

21 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 691 papers with code (2,122 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.

• Generative Adversarial Imitation Learning
  10 Jun 2016 18 repositories listed Syntology ran 12 of 36 samples · 24 unverified · 11 pointer-only (licence)
  Consider learning a policy from example expert behavior, without interaction with the expert or access to reinforcement signal.
• End-to-end Driving via Conditional Imitation Learning
  6 Oct 2017 7 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  However, driving policies trained via imitation learning cannot be controlled at test time.
• Exact Combinatorial Optimization with Graph Convolutional Neural Networks
  4 Jun 2019 6 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 1 pointer-only (licence)
  Combinatorial optimization problems are typically tackled by the branch-and-bound paradigm.
• Behavioral Cloning from Observation
  4 May 2018 6 repositories listed Syntology ran 4 of 7 samples · 3 unverified
  In this work, we propose a two-phase, autonomous imitation learning technique called behavioral cloning from observation (BCO), that aims to provide improved performance with respect to both of these aspects.
• Deep Q-learning from Demonstrations
  12 Apr 2017 6 repositories listed
  We present an algorithm, Deep Q-learning from Demonstrations (DQfD), that leverages small sets of demonstration data to massively accelerate the learning process even from relatively small amounts of demonstration data…
• IQ-Learn: Inverse soft-Q Learning for Imitation
  23 Jun 2021 5 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In many sequential decision-making problems (e.
• SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
  27 May 2019 5 repositories listed
  Theoretically, we show that SQIL can be interpreted as a regularized variant of BC that uses a sparsity prior to encourage long-horizon imitation.
• Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
  1 Oct 2018 5 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  By enforcing a constraint on the mutual information between the observations and the discriminator's internal representation, we can effectively modulate the discriminator's accuracy and maintain useful and informative…
• Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
  23 Jun 2023 4 repositories listed
  Despite its simplicity this baseline is competitive with meta-learning methods on a variety of conditions and is able to imitate target policies trained on unseen variations of the original environment.
• Orca: Progressive Learning from Complex Explanation Traces of GPT-4
  5 Jun 2023 4 repositories listed
  To address these challenges, we develop Orca (We are working with our legal team to publicly release a diff of the model weights in accordance with LLaMA's release policy to be published at https://aka.
• A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control
  21 May 2021 4 repositories listed
  We present a simple and intuitive approach for interactive control of physically simulated characters.
• AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
  5 Apr 2021 4 repositories listed
  Our system produces high-quality motions that are comparable to those achieved by state-of-the-art tracking-based techniques, while also being able to easily accommodate large datasets of unstructured motion clips.
• Proof Artifact Co-training for Theorem Proving with Language Models
  11 Feb 2021 4 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Labeled data for imitation learning of theorem proving in large libraries of formalized mathematics is scarce as such libraries require years of concentrated effort by human specialists to be built.
• ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
  7 Dec 2018 4 repositories listed
  Our goal is to train a policy for autonomous driving via imitation learning that is robust enough to drive a real vehicle.
• Self-Imitation Learning
  14 Jun 2018 4 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 3 pointer-only (licence)
  This paper proposes Self-Imitation Learning (SIL), a simple off-policy actor-critic algorithm that learns to reproduce the agent's past good decisions.
• InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
  26 Mar 2017 4 repositories listed
  The goal of imitation learning is to mimic expert behavior without access to an explicit reward signal.
• OpenVLA: An Open-Source Vision-Language-Action Model
  13 Jun 2024 3 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training new behaviors from…
• WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
  4 Jul 2022 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Existing benchmarks for grounding language in interactive environments either lack real-world linguistic elements, or prove difficult to scale up due to substantial human involvement in the collection of data or…
• TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
  31 May 2022 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  At the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.
• End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
  18 Aug 2021 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Our end-to-end agent achieves a 78% success rate while generalizing to a new town and new weather on the NoCrash-dense benchmark and state-of-the-art performance on the challenging public routes of the CARLA LeaderBoard.
• Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
  4 Mar 2021 3 repositories listed
  We provide a unifying view of a large family of previous imitation learning algorithms through the lens of moment matching.
• BabyAI 1.1
  24 Jul 2020 3 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  This increases reinforcement learning sample efficiency by up to 3 times and improves imitation learning performance on the hardest level from 77 % to 90.
• Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
  23 Jun 2020 3 repositories listed
  Adversarial Imitation Learning alternates between learning a discriminator -- which tells apart expert's demonstrations from generated ones -- and a generator's policy to produce trajectories that can fool this…
• Imitation Learning via Off-Policy Distribution Matching
  10 Dec 2019 3 repositories listed
  In this work, we show how the original distribution ratio estimation objective may be transformed in a principled manner to yield a completely off-policy objective.
• 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.
• Simitate: A Hybrid Imitation Learning Benchmark
  15 May 2019 3 repositories listed
  We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning.
• Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
  12 Apr 2019 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  A critical flaw of existing inverse reinforcement learning (IRL) methods is their inability to significantly outperform the demonstrator.
• Go-Explore: a New Approach for Hard-Exploration Problems
  30 Jan 2019 3 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Go-Explore can also harness human-provided domain knowledge and, when augmented with it, scores a mean of over 650k points on Montezuma's Revenge.
• CompILE: Compositional Imitation Learning and Execution
  4 Dec 2018 3 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We introduce Compositional Imitation Learning and Execution (CompILE): a framework for learning reusable, variable-length segments of hierarchically-structured behavior from demonstration data.
• Task-Embedded Control Networks for Few-Shot Imitation Learning
  8 Oct 2018 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Despite this, most robot learning approaches have focused on learning a single task, from scratch, with a limited notion of generalisation, and no way of leveraging the knowledge to learn other tasks more efficiently.

Syntology lines on 18 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.