64 datasets found

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

The dataset used in the paper is a reinforcement learning environment, specifically the MiniGrid and BabyAI environments.

The dataset used for the experiments in the paper, consisting of 2D and 3D environments, and objects to interact with.

The Desk Cleanup environment, which consists of a robotic arm and several blocks on a desk.

The Fetch Manipulation environment with 3 blocks, which consists of a robotic arm with a gripper and three blocks.

The Fetch Manipulation environment with 2 blocks, which consists of a robotic arm with a gripper and two blocks.

The Fetch Manipulation environment built on top of Mujoco, which consists of a robotic arm with a gripper and square blocks.

The dataset used in the experiments is the Fetch environment in OpenAI Gym.

ACED constructs a curriculum by sampling states from expert demonstration trajectories as initializations for each training episode, where the samples initially come from near...

The dataset used in the paper is a set of data collected from the OpenAI Gym Reacher environment.

The dataset used in the paper is a set of motor babbling data, which is used to initialize the dynamics model and to optimize the control policies.

The dataset used in the paper is RLBench, a standard benchmark for vision-based robotics which has been shown to serve as a proxy for real-robot experiments.

The Continual World benchmark consists of ten realistic robotic manipulation tasks.

Minigrid environment, a grid-based problem in reinforcement learning.

REBEL is a dataset for reward regularization based robotic reinforcement learning from human feedback.

A benchmark for evaluating task compositionality and long-horizon tasks through object manipulation, with language serving as the mechanism for goal specification.

The dataset used in the paper is the Mujoco benchmarking continuous control tasks.

The dataset used in the paper is a set of demonstrations for a robot insertion task, which is a continuous control problem. The demonstrations are collected by a robot...

A dataset for robotic manipulation tasks, including ChestPush, ChestPickAndPlace, and BlockStack.

A dataset for multi-step sparse reward tasks, including gridworld tasks and robotic manipulation tasks.