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Generalization in Deep Reinforcement Learning for Robotic Navigation by Rewar...
A novel reward function for reinforcement learning and a Soft Actor-Critic algorithm to train a DRL policy in the context of local navigation for autonomous mobile robots in... -
Dual Pendulum Environment
The dataset used in the paper is a dual-pendulum environment, which is a continuous action space task. -
Kuka Object Manipulation Datasets
The dataset is used for training and testing the Equivariant Diffuser for Generating Interactions (EDGI) algorithm. -
Navigation and Manipulation Datasets
The dataset is used for training and testing the Equivariant Diffuser for Generating Interactions (EDGI) algorithm. -
Robomimic Environment
Robomimic environment consists of tasks such as lift, can, square, tool-hang, and transport. -
D4RL Benchmark Suite
D4RL benchmark suite consists of tasks such as locomotion, antmaze, adroit, and kitchen. -
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... -
Meta-World and Robomimic
The dataset used in the paper is a robotic manipulation task dataset, which consists of trajectories and preference labels. -
DeepMind Control Suite
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... -
BBRL Activations Dataset
The dataset used in the paper is a collection of activations from a feature extraction network and a reactive network, used to train a Variational Autoencoder (VAE) to learn... -
D4RL Benchmark
D4RL benchmark dataset, which consists of four offline logging datasets, collected by different one or mixed behavior policies. -
Roboschool
The dataset used in the ACE algorithm for continuous control problems. -
Gymnasium MuJoCo Benchmark
The dataset used in the paper is the Gymnasium MuJoCo benchmark, which is a collection of robotic manipulation tasks.
