990 Open source projects that are alternatives of or similar to Epg

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..

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Deep Learning and deep reinforcement learning research papers and some codes

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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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FSL-Mate: A collection of resources for few-shot learning (FSL).

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

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

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

POMDPs in Python.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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Train an RL agent to localize actively (PyTorch)

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

A simple framework for experimenting with Reinforcement Learning in Python.

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

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Repository for collection of research papers on privacy.

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

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

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Paper is a fast NoSQL-like storage for Java/Kotlin objects on Android with automatic schema migration support.

This is my paper "Correction of single circular fisheye image" related program code

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Python module to interface with OpenML

A reinforcement learning package for Julia

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Summaries of the papers that are discussed by VLG.

This is Andrew NG Coursera Handwritten Notes.

A classified list of meta learning papers based on realm.

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Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

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Your bibliography on the command line

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

Implementations of deep RL papers and random experimentation

Numenta published papers code and data

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A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

华中科技大学本科毕业论文LaTeX模板 2017

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Reinforcement learning framework to accelerate research

paper summary of Association for Computational Linguistics

AI research environment for the Atari 2600 games 🤖.

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Summaries of machine learning papers

Implementation for the Neural Logic Machines (NLM).

A stable algorithm for GAN training

Code for the paper "Improved Techniques for Training GANs"

A learning environment for man-made Interactive Fiction games.