419 Open source projects that are alternatives of or similar to Pytorch-RL-CPP

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

PyTorch implementation of Soft Actor-Critic (SAC)

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Python library for Reinforcement Learning.

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PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PyTorch Implementation of REINFORCE for both discrete & continuous control

Pytorch Implementation of RL algorithms

Repo for the Deep Reinforcement Learning Nanodegree program

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A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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JAX implementations of core Deep RL algorithms

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Training a Neural Network to play Pong from pixels

PyTorch study

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

dcgan combined with vae in pytorch!

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

Shell scripts to build ipa

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FastBasic - Fast BASIC interpreter for the Atari 8-bit computers

Code for "Free-Lunch Saliency via Attention in Atari Agents"

Extensible Combinatorial Optimization Learning Environments

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

No description or website provided.

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

Modelica models integration with Open AI Gym

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

Tensorflow implementation of adversarial auto-encoder for MNIST

PySC2 OpenAI Gym Environments

Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

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PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Convert DeepMind Control Suite to OpenAI gym environments.

A .Net-based Cross-Assembler for Several 8-Bit Microprocessors