534 Open source projects that are alternatives of or similar to Icnn

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Deep Reinforcement Learning for Keras.

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Safe Bayesian Optimization

Guided Policy Search

Implementations of deep RL papers and random experimentation

Implementations of selected inverse reinforcement learning algorithms.

A working implementation of the Categorical DQN (Distributional RL).

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AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

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Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

A3C LSTM Atari with Pytorch plus A3G design

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Implementations of Reinforcement Learning Models in Tensorflow

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

Safe reinforcement learning with stability guarantees

Arnold - DOOM Agent

Reinforcement learning tutorials

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Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Learning to trade under the reinforcement learning framework

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

AI research environment for the Atari 2600 games 🤖.

My Exploration on Deep Reinforcement Learning Survey

An OpenAI-gym-like environment for Little Fighter 2

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

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

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Some of the ML and DL related reading materials, research papers that I've read

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

An environment to high-frequency trading agents under reinforcement learning

Reinforcement learning with unsupervised auxiliary tasks

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Poker engine for poker AI development in Python

Unity Machine Learning Agents Toolkit

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

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Classic papers and resources on recommendation

A universal flight control tuning framework

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

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A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)