2023 Open source projects that are alternatives of or similar to Pytorch Rl

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Multiple implementations for abstractive text summurization , using google colab

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Dream to Control: Learning Behaviors by Latent Imagination

A reinforcement learning package for Julia

juliareinforcementlearning.org/

ns3-gym - The Playground for Reinforcement Learning in Networking Research

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Implementation of algorithms for continuous control (DDPG and NAF).

A curated list of dedicated resources and applications

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

No description or website provided.

Implementation of a convolutional Variational-Autoencoder model in pytorch.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

Code for deep generative prior (ECCV2020 oral)

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Behavior Optimization and Learning for Robots

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Jiminy: a fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Learning Continuous Control in Deep Reinforcement Learning

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

PyTorch study

Invariant representation learning from imaging and spectral data

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Cloud-native Financial Reinforcement Learning

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Showcasing various fun adventures with GANs

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Run OpenAI Gym on a Server

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Deep Reinforcement Learning for Robotic Grasping from Octrees

A curated list of awesome self-supervised methods

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Proto-RL: Reinforcement Learning with Prototypical Representations

Accompanying repository for Let's make a DQN / A3C series.

Grokking Deep Reinforcement Learning

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

music generation with a classifying variational autoencoder (VAE) and LSTM

Deep Reinforcement Learning Algorithms Implementation in PyTorch

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

TensorFlow2 Reinforcement Learning