Gymnasium integration for the DeepMind Control (DMC) suite
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Updated
Apr 15, 2024 - Python
Gymnasium integration for the DeepMind Control (DMC) suite
Farama Gymnasium API Wrapper for the DeepMind Control Suite and DeepMind Robot Manipulation Tasks
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
A novel approach to solve Contextual Reinforcement Learning
Mujoco xml model for the Fetch Robotics Freight mobile base + Panda arm
A Multi-Task Dataset for Simulated Humanoid Control
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
OpenAI Gym wrapper for the DeepMind Control Suite
This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learning.
DrQ: Data regularized Q
PyTorch Implementation of Visual GAIL in Atari Games
Control Ordinary Differential Equations with deep reinforcement learning
Proto-RL: Reinforcement Learning with Prototypical Representations
PyTorch implementation of Soft Actor-Critic (SAC)
Implementation of k-Step Latent (KSL)
A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.
RAD: Reinforcement Learning with Augmented Data
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
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