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

Unreal environments for reinforcement learning

Scalable Implementation of Deep CFR and Single Deep CFR

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A library for ready-made reinforcement learning agents and reusable components for neat prototyping

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

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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POMDPs in Python.

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AI斗地主

ProMP: Proximal Meta-Policy Search

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This is Andrew NG Coursera Handwritten Notes.

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中国象棋alpha zero程序

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Tensorflow implementation of generative adversarial imitation learning

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

An open source framework for research in Embodied-AI from AI2.

Implementations of deep RL papers and random experimentation

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Framework for Multi-Agent Deep Reinforcement Learning in Poker

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.

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Safe reinforcement learning with stability guarantees

Implementation for the Neural Logic Machines (NLM).

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

AI research environment for the Atari 2600 games 🤖.

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

An environment to high-frequency trading agents under reinforcement learning

Unity Machine Learning Agents Toolkit

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This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Coding Demos from the School of AI's Move37 Course

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A comprehensive autonomous decentralized systems framework for AI control architects.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

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

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A library of reinforcement learning components and agents

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Code for the paper "Evolved Policy Gradients"

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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Classic papers and resources on recommendation

A universal flight control tuning framework

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