439 Open source projects that are alternatives of or similar to Deeprl

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

An advanced program in Machine Learning and Deep Learning

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

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Deep Q-Learning Network in pytorch (not actively maintained)

A collection of materials to help you learn about deep learning

🐵 An AI chess-board-game framework(by many programming languages) implementations.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Rainbow: Combining Improvements in Deep Reinforcement Learning

[파이썬과 케라스로 배우는 강화학습] 예제

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

강화학습에 대한 기본적인 알고리즘 구현

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Gibson Environments: Real-World Perception for Embodied Agents

深度学习论文阅读路线图

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Teach a Quadcopter How to Fly!

PyTorch Implementation of Neural Episodic Control (NEC)

Tensorforce: a TensorFlow library for applied reinforcement learning

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.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Top 200 deep learning Github repositories sorted by the number of stars.

Slides and notebooks for my tutorial at PyData London 2018

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

Notes and comments about Deep Reinforcement Learning papers

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A framework for easy prototyping of distributed reinforcement learning algorithms

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

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

Deep Reinforcement Learning (DRL) agents applied to medical images

This is the official implementation of Multi-Agent PPO.

DrQ: Data regularized Q

An offline deep reinforcement learning library

Deep Reinforcement Learning based Trading Agent for Bitcoin

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

Cloud-native Financial Reinforcement Learning

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Malmo Collaborative AI Challenge - Team Pig Catcher

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

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

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

The Retro Learning Environment (RLE) -- a learning framework for AI

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

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

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Deep Planning Network: Control from pixels by latent planning with learned dynamics

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

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

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

Our NIPS 2017: Learning to Run source code

Python (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.

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

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)