4 datasets found

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  • Exploration Metrics for Reinforcement Learning

    The dataset used in the paper is a set of data generated from four different types of distributions: uniform, truncated normal, bi-modal truncated normal growing scale, and...

  • Object-pusher environment

    The dataset used in the paper is a simulated object-pusher environment.

  • Explore2Offline

    The dataset used in the paper for offline reinforcement learning, consisting of task-agnostic exploration data collected via curiosity-based intrinsic motivation.

  • Binary Tree MDP

    The dataset used in the paper is a binary tree MDP, where the agent must execute a sequence of L uninterrupted UP movements. The dataset is used to test the Successor...