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…
Research project: create a chess engine using Deep Reinforcement Learning
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic S…
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Drivi…
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trai…
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Open source neural network chess engine with GPU acceleration and broad hardware support.
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure…
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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