Car Racing

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

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (48 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.

• World Models
  27 Mar 2018 22 repositories listed Syntology ran 6 of 38 samples · 32 unverified · 3 pointer-only (licence)
  We explore building generative neural network models of popular reinforcement learning environments.
• Simulated Car Racing Championship: Competition Software Manual
  5 Apr 2013 8 repositories listed
  This manual describes the competition software for the Simulated Car Racing Championship, an international competition held at major conferences in the field of Evolutionary Computation and in the field of Computational…
• Deep Neuroevolution of Recurrent and Discrete World Models
  28 Apr 2019 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Instead of the relatively simple architectures employed in most RL experiments, world models rely on multiple different neural components that are responsible for visual information processing, memory, and…
• Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
  22 Jul 2020 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  In order to obtain safe optimal performance in the context of set invariance, we present a safety-critical model predictive control strategy utilizing discrete-time control barrier functions (CBFs), which guarantees…
• Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
  12 Aug 2024 1 repository listed
  Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, where these styles reflect a broad spectrum of individuality and diversity.
• Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
  28 Jun 2024 1 repository listed
  Combining Reinforcement Learning (RL) with a prior controller can yield the best out of two worlds: RL can solve complex nonlinear problems, while the control prior ensures safer exploration and speeds up training.
• Stabilizing Unsupervised Environment Design with a Learned Adversary
  21 Aug 2023 1 repository listed
  As a result, we make it possible for PAIRED to match or exceed state-of-the-art methods, producing robust agents in several established challenging procedurally-generated environments, including a partially-observed…
• Decision-making and control with diffractive optical networks
  21 Dec 2022 1 repository listed
  Our work represents a solid step forward in advancing diffractive optical networks, which promises a fundamental shift from the target-driven control of a pre-designed state for simple recognition or classification…
• Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
  13 Jul 2022 1 repository listed
  We present the implementation of nonlinear control algorithms based on linear and quadratic approximations of the objective from a functional viewpoint.
• A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria
  30 Mar 2022 1 repository listed
  Dynamic games can be an effective approach to modeling interactive behavior between multiple non-cooperative agents and they provide a theoretical framework for simultaneous prediction and control in such scenarios.
• MicroRacer: a didactic environment for Deep Reinforcement Learning
  20 Mar 2022 1 repository listed
  MicroRacer is a simple, open source environment inspired by car racing especially meant for the didactics of Deep Reinforcement Learning.
• An Unsupervised Video Game Playstyle Metric via State Discretization
  3 Oct 2021 1 repository listed
  In this paper, we propose the first metric for video game playstyles directly from the game observations and actions, without any prior specification on the playstyle in the target game.
• Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
  9 Sep 2021 1 repository listed
  Despite the potential of active inference for visual-based control, learning the model and the preferences (priors) while interacting with the environment is challenging.
• Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
  18 Jul 2021 1 repository listed
  In this work, we present a general deep imitative reinforcement learning approach (DIRL), which successfully achieves agile autonomous racing using visual inputs.
• Pragmatic Image Compression for Human-in-the-Loop Decision-Making
  7 Jul 2021 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Standard lossy image compression algorithms aim to preserve an image's appearance, while minimizing the number of bits needed to transmit it.
• Rank Position Forecasting in Car Racing
  4 Oct 2020 1 repository listed
  Forecasting is challenging since uncertainty resulted from exogenous factors exists.
• Learning Human Objectives by Evaluating Hypothetical Behavior
  5 Dec 2019 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  To address this challenge, we propose an algorithm that safely and interactively learns a model of the user's reward function.
• Weight Agnostic Neural Networks
  11 Jun 2019 1 repository listed
  We demonstrate that our method can find minimal neural network architectures that can perform several reinforcement learning tasks without weight training.
• Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
  30 Sep 2018 1 repository listed
  Deep Reinforcement Learning (DRL) has become a powerful strategy to solve complex decision making problems based on Deep Neural Networks (DNNs).
• Deep Reinforcement Learning framework for Autonomous Driving
  8 Apr 2017 1 repository listed
  This is of particular relevance as it is difficult to pose autonomous driving as a supervised learning problem due to strong interactions with the environment including other vehicles, pedestrians and roadworks.
• Recurrent Environment Simulators
  7 Apr 2017 1 repository listed
  Models that can simulate how environments change in response to actions can be used by agents to plan and act efficiently.
• Query-Efficient Imitation Learning for End-to-End Autonomous Driving
  20 May 2016 1 repository listed
  A policy function trained in this way however is known to suffer from unexpected behaviours due to the mismatch between the states reachable by the reference policy and trained policy functions.

Syntology lines on 5 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.