4 datasets found

Groups: Robotics Tags: Offline RL

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  • Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

    Offline reinforcement learning (RL) paradigm provides a general recipe to convert static behavior datasets into policies that can perform better than the policy that collected...

  • D4RL Benchmark

    D4RL benchmark dataset, which consists of four offline logging datasets, collected by different one or mixed behavior policies.

  • D4RL

    D4RL datasets for maze2d-umaze, maze2d-medium, maze2d-large, antmaze-umaze, antmaze-medium, antmaze-large, parking, soccer-sim, and soccer-physical tasks

  • MuJoCo

    The dataset used in the paper is a collection of simulated environments, including blockworld, canada, cart, cartpole, cartpoleBalance, cartpoleParallelDouble,...
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