351 Open source projects that are alternatives of or similar to TF_RL

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

SeqGAN but with more bells and whistles

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

☔ Deep RL agents with PyTorch☔

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

3D RL Volleyball environment built on Unity ML-Agents

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

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

Combining deep learning and reinforcement learning.

Run Minecraft Server on Google Colab.

Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Functional Reinforcement Learning in Scala.

Learning Continuous Control in Deep Reinforcement Learning

Ape-X DQN & DDPG with pytorch & tensorboard

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

TensorFlow 2.0 implementation of MAML.

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!

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

A Universal Deep Reinforcement Learning Framework

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

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

Mario AI Ensemble

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

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

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

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Awesome RL: Papers, Books, Codes, Benchmarks

Live Trading. Please star.

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Revisiting Rainbow

Reinforcement Learning algorithm's using google-colab

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

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

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TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

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

This is my version of https://github.com/MinorMole/RcloneLab

This Google Colab notebook will help you download any file directly to Google Drive with the help of the JDownloader web interface

Minimal and Clean Reinforcement Learning Examples

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

Reinforcement Learning for Super Mario Bros using A3C on GPU

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

A curated list of resources about Machine Learning for Robotics

JAX implementations of core Deep RL algorithms