768 Open source projects that are alternatives of or similar to Pytorch Trpo

Python library for Reinforcement Learning.

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

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

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

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 Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

PyTorch implementation of Soft Actor-Critic (SAC)

DrQ: Data regularized Q

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning with pytorch & visdom

My Solution to Assignments of CS234

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Tensorforce: a TensorFlow library for applied reinforcement learning

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Deep Reinforcement Learning (DRL) agents applied to medical images

Teach a Quadcopter How to Fly!

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Unity Machine Learning Agents Toolkit

Reinforcement learning algorithms for MuJoCo tasks

PyTorch implementation of soft actor critic

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

🤖 Implements of Reinforcement Learning algorithms.

Highly Modular and Scalable Reinforcement Learning

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

ROS 2 enabled Machine Learning algorithms

Resources, papers, tutorials

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Artificial intelligence for the Snake game.

Implementations of deep RL papers and random experimentation

Tensorflow implementation of generative adversarial imitation learning

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A reinforcement learning package for Julia

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

playing idealized trading games with deep reinforcement learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

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

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

RAD: Reinforcement Learning with Augmented Data

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Minimal and Clean Reinforcement Learning Examples