678 Open source projects that are alternatives of or similar to Openaigym

GPU Javascript Library for Machine Learning

Trax — Deep Learning with Clear Code and Speed

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

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Grid2Op a testbed platform to model sequential decision making in power systems.

Deep Reinforcement Learning For Sequence to Sequence Models

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

A minimalist environment for decision-making in autonomous driving

SMAC: The StarCraft Multi-Agent Challenge

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Gibson Environments: Real-World Perception for Embodied Agents

Predict/log/learn/update reinforcement learning loop

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

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

My Reading Lists of Deep Learning and Natural Language Processing

My Exploration on Deep Reinforcement Learning Survey

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Deep Reinforcement Learning Framework + Algorithms

Conversational AI Reading Materials

Deep Q-learning for playing flappy bird game

A selection of state-of-the-art research materials on decision making and motion planning.

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

Reinforcement learning with unsupervised auxiliary tasks

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Reinforcement learning environments for Torch7

Safe Bayesian Optimization

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Implementing trajectory optimization on bipedal system

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

Seoul AI Gym is a toolkit for developing AI algorithms.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Reinforced Recommendation toolkit built around pytorch 1.7

🔬 A curated list of awesome machine learning strategies & tools in financial market.

How to use TensorLayer

Learning human driver models from NGSIM data with imitation learning.

🤖 Deep Reinforcement Learning Chatbot

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Computational framework for reinforcement learning in traffic control

Notes and comments about Deep Reinforcement Learning papers

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

Actor-Critic Instance Segmentation (CVPR 2019)

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

TensorFlow2 Reinforcement Learning

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

repository to research & share the machine learning articles

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Simple tools for logging and visualizing, loading and training

Open source collection of Reinforcement Learning Environments.

Reversi reinforcement learning by AlphaGo Zero methods.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Basic reinforcement learning implementation with tensorflow version 2.0

Asynchronous Methods for Deep Reinforcement Learning