32 datasets found

The dataset used in this paper is a robot grasping dataset, where the robot learns to grasp objects in a simulated environment.

The dataset used in the paper is a collection of 54 standard benchmark environments, including the Atari game suite.

The Treasure World domain is a 3D navigation domain within the DM Lab framework. The domain consists of one large room filled with 64 objects of multiple types. Whenever an...

The authors used the Mujoco control tasks, including Ant-v2, HalfCheetah-v2, Hopper-v2, and Walker2d-v2.

A Multi-Agent Reinforcement Learning (MARL) framework for cooperative data collection to build a 3D mapping of the disaster scene using agents present around the incident zone...

The dataset used for the cart-pole problem is a finite set of states: S, a finite set of actions: A, a state transition probability matrix, P, a reward function R, and a...

The dataset used in the paper is a reinforcement learning-based approach for automated quantum adiabatic algorithm design. The dataset consists of Grover search and 3-SAT problems.

Deep reinforcement learning (RL) can acquire complex behaviors from low-level inputs, such as images. However, real-world applications of such methods require generalizing to...

State-wise safe reinforcement learning with pixel observations

The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on several representative tasks from the OpenAI Gym and...

The dataset used in the paper is a procedurally generated environment called ProcGen.

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

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

Open bandit dataset and pipeline: Towards realistic and reproducible off-policy evaluation

The proposed uncertainty-aware model-based reinforcement learning framework is applied to end-to-end autonomous driving tasks.

The Bootstrapped DQN dataset is a collection of 49 Atari games.

The Incentivizing Exploration in Atari dataset is a collection of 49 Atari games.

The Arcade Learning Environment (ALE) dataset is a collection of 49 Atari games.

The Atari dataset is a collection of 55 Atari games, each with its own set of rules and objectives.

The dataset used in the paper is the Rainbow dataset, which is a combination of six extensions to the DQN algorithm.