Reinforcement-Learning VS TextWorld

Compare Reinforcement-Learning vs TextWorld and see what are their differences.

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
reinforcement-learning Machine Learning Artificial intelligence deep-reinforcement-learning Deep Learning policy-gradients evolution-strategies A2c deepmind Dqn qlearning Ppo
Source Code
andri27-ts.github.io
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TextWorld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games. (by microsoft)
text-based-game reinforcement-learning text-based-adventure
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Reinforcement-Learning TextWorld
1 1
4,091 1,150
- 1.2%
0.0 7.8
almost 4 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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Reinforcement-Learning

Posts with mentions or reviews of Reinforcement-Learning. We have used some of these posts to build our list of alternatives and similar projects.

TextWorld

Posts with mentions or reviews of TextWorld. We have used some of these posts to build our list of alternatives and similar projects.
  • A choose your own adventure writing and reading platform
    1 project | /r/SideProject | 9 Mar 2021
    I have been looking into creating something like that, but using AI to generate the stories, to add to my site at https://boredhumans.com . I already have an AI-powered story generator there, but it is not interactive. I was also looking at creating interactive stories using https://parl.ai/projects/light/ or https://github.com/microsoft/TextWorld , both of which use AI and are open source. But those are like AI Dungeon (https://play.aidungeon.io) and not regular stories.

What are some alternatives?

When comparing Reinforcement-Learning and TextWorld you can also consider the following projects:

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

evennia - Python MUD/MUX/MUSH/MU* development system

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

trax - Trax — Deep Learning with Clear Code and Speed

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

gdrl - Grokking Deep Reinforcement Learning

Reinforcement-Learning vs pytorch-a2c-ppo-acktr-gail TextWorld vs evennia Reinforcement-Learning vs FinRL-Library TextWorld vs TensorFlow-Tutorials Reinforcement-Learning vs DeepRL-TensorFlow2 TextWorld vs trax Reinforcement-Learning vs Stock-Prediction-Models TextWorld vs nn Reinforcement-Learning vs snakeAI TextWorld vs FinGPT Reinforcement-Learning vs TradingGym Reinforcement-Learning vs gdrl