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

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

Cloud-native Financial Reinforcement Learning

Synthetic Data Generation for tabular, relational and time series data.

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

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

Deep Reinforcement Learning (DRL) agents applied to medical images

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

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

Unity Machine Learning Agents Toolkit

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Code for deep generative prior (ECCV2020 oral)

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

Collection of Deep Reinforcement Learning algorithms

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

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

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

Tensorflow implementation of generative adversarial imitation learning

Proto-RL: Reinforcement Learning with Prototypical Representations

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

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

A reinforcement learning package for Julia

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

AI斗地主

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

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

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

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

Reinforcement learning with A* and a deep heuristic

Tensorforce: a TensorFlow library for applied reinforcement learning

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

My Exploration on Deep Reinforcement Learning Survey

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

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

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

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

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

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

Deep Reinforcement Learning for Robotic Grasping from Octrees

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

A curated list of awesome self-supervised methods

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

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

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

A selection of state-of-the-art research materials on decision making and motion planning.

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.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

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

Grokking Deep Reinforcement Learning

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

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.

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Showcasing various fun adventures with GANs

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

GAN in Tensorflow to be run via Linux command line