hamza-adnan/visual_distracting_control_suite
Visual Distracting Control Suite Benchmark This dataset contains expert trajectories generated by a Proximal Policy Optimization (PPO) reinforcement learning agent trained on 4 environments of the Distracting Control Suite. For each environment we collect data with different levels of distraction, which we define below, and masks for the agent. Levels of distraction: None: Vanilla DeepMind Control Suite without visual distractions. The environment uses the default static… See the full description on the dataset page: https://huggingface.co/datasets/hamza-adnan/visual_distracting_control_suite.
| Author / organization | hamza-adnan |
|---|---|
| Downloads | 394 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 April 2026 |
| Last updated at source | 8 April 2026 |
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- 16 Oct 2026 Description: Visual Distracting Control Suite Benchmark This dataset contains expert trajectories generated by a Proximal Policy Optimization (PPO) reinforcement learning agent trained on 4 environments of the Distracting Control Suite. For each environ → Visual Distracting Control Suite Benchmark This dataset contains expert trajectories generated by a Proximal Policy Optimization (PPO) reinforcement learning agent trained on 4 environments of the Distracting Control Suite. For each environ
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