19 datasets found

The dataset used in the Temporally Layered Architecture (TLA) for adaptive, distributed and continuous control.

The dataset used in the paper is a collection of data from the MuJoCo continuous control tasks.

The dataset used in the paper is a continuous control tasks, specifically the Hopper and Half-Cheetah tasks.

The dataset used in this paper is a set of seven continuous control locomotion tasks implemented in Brax, derived from standard RL benchmarks.

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

The dataset used in the paper is the Pendulum dataset, which is a continuous control problem.

The dataset used in the paper is a reinforcement learning dataset, specifically a Markov Decision Process (MDP) with a finite set of states and actions.

The dataset used in this paper is a collection of data points from a lunar lander, which is used to test the proposed APG algorithm for task switching.

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...

The dataset used in the paper is a continuous control task dataset.

Motion-capture datasets for robotic continuous control tasks.

The dataset used in the paper is the Real-World RL Challenge dataset. It contains a set of continuous control tasks.

The dataset used in the paper is the DeepMind Control Suite and Real-World RL Experiments. It contains a set of continuous control tasks based on MuJoCo.

The authors used the ComplexPoint-v0, Pendulum-v0, LunarLanderContinuous-v2, Swimmer-v2, HalfCheetah-v2, HumanoidStandup-v2, Humanoid-v2 datasets for experiments.

The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test...

The dataset used in the ACE algorithm for continuous control problems.

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

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

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.