368 Open source projects that are alternatives of or similar to pytorchrl

My notes on reinforcement learning papers

source code for 'Improving automatic source code summarization via deep reinforcement learning'

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

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

gail, infogail, hierarchical gail implementations

An out-of-the-box GUI tool for offline deep reinforcement learning

Fitness landscape exploration sandbox for biological sequence design.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Examples

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

Ranking Policy Gradient

Evaluating pre-trained navigation agents under corruptions

No description or website provided.

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

A high-level framework for advanced deep learning with TensorFlow

Developing a deep neural network to play a snake game

Eagerly Experimentable!!!

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Autonomous Drifting using Reinforcement Learning

Live Trading. Please star.

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

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

Research repo of RL

Learning Continuous Control in Deep Reinforcement Learning

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Solving Haxball (www.haxball.com) using Imitation Learning methods.

With underflow, create trafic light clusters that interact together to regulate circulation

A curated list of resources about Machine Learning for Robotics

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

3D RL Volleyball environment built on Unity ML-Agents

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Deep Developmental Reinforcement Learning

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Develop ultimate AI Pokémon trainer

A Universal Deep Reinforcement Learning Framework

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Reinforcement Learning for Super Mario Bros using A3C on GPU

Deep Reinforcement Learning for Robotic Grasping from Octrees

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

☔ Deep RL agents with PyTorch☔

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Distributed A3C

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

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

Functional Reinforcement Learning in Scala.

Awesome RL: Papers, Books, Codes, Benchmarks

Kernelized Movement Primitives (KMP)