35 datasets found

Tags: reinforcement learning

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  • CHALET

    CHALET is a 3D house simulator with support for navigation and manipulation. It includes 58 rooms and 10 house configurations, and allows to easily create new house and room...
  • Minigrid environment

    The dataset used in the paper is the Minigrid environment, which is a 3D grid world with a goal at the bottom-right corner. The agent learns to navigate to the goal using human...
  • Target Stacking

    A synthetic block stacking environment with physics simulation in which the agent can learn block stacking end-to-end through trial and error, bypassing to explicitly model the...
  • MuJoCo Environment

    The dataset used in the paper is a MuJoCo environment, with 13-states and 4-control inputs, nonlinear dynamics with polynomial dependency in the control inputs.
  • Unitree A1

    The dataset used in the paper for safe reinforcement learning for legged locomotion.
  • Unitree Laikago

    The dataset used in the paper for safe reinforcement learning for legged locomotion.
  • Guard: A safe reinforcement learning benchmark

    The dataset used in the paper is a collection of robot locomotion tasks with various constraints.
  • NeoRL

    A near real-world benchmark for offline RL, which contains datasets from various domains with controlled sizes, and extra test datasets for policy validation.
  • HandManipulateBlock

    The HandManipulateBlock environment from OpenAI gym robotics suite
  • FetchPickAndPlace and HandManipulateBlock

    The FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite
  • FetchPush, FetchPickAndPlace and HandManipulateBlock

    The FetchPush, FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite
  • Funnel board

    The Funnel board task is a domain where a ball falls through a grid of obstacles onto one of five platforms. Every other row of obstacles consists of funnel-shaped objects,...
  • Room runner

    The Room runner task is a domain where an agent moves through a randomly generated map of rooms, which are observed in 2D from above. The agent follows the policy of always...
  • Event Camera-based Reinforcement Learning

    The dataset used in the paper is a simulated environment for event camera-based reinforcement learning. The dataset includes a car-like robot equipped with an event camera, and...
  • UNIMALS

    The dataset used in the paper is a collection of robot morphologies, each with a unique set of actuators and joints.
  • Multiple-confounded-Mujoco-Envs

    The dataset used in the paper is a collection of environments with multiple confounders, including mass, length, damping, and a crippled leg. The dataset is used to evaluate the...
  • Simulated Robot Environment

    The dataset used in the paper is a simulated robot environment.
  • Simulated Self-Driving Car Environment

    The dataset used in the paper is a simulated self-driving car environment, a mountain car environment, and a robotic environment.
  • Gym

    The dataset used in this paper is a set of simulated robotic locomotion tasks, including Walker2d-v3, HalfCheetah-v3, Ant-v3, and Humanoid-v3.
  • Theremin Dataset

    The dataset used for training a robotic agent to play the theremin instrument using time-dependent goals.