SimGAN
Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement L…
Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement L…
Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environmen…
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity modul…
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. I…
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/G…
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trai…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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