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Search results for python reinforcement learning environments

reinforcement-learning-environments x

70 search results found

Football ⭐ 3,177

Check out the new game server:

Ai Economist ⭐ 1,022

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

BabyAI platform. A testbed for training agents to understand and execute language commands.

Furniture ⭐ 418

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

Grid2op ⭐ 249

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

Robo Gym ⭐ 226

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

Gym Trading Env ⭐ 165

A simple, easy, customizable Gymnasium environment for trading.

Rlberry ⭐ 147

An easy-to-use reinforcement learning library for research and education.

An OpenAi Gym environment for the Job Shop Scheduling problem.

Pontryagin Differentiable Programming ⭐ 123

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Sinergym ⭐ 96

Gym environment for building simulation and control using reinforcement learning

Pypownet ⭐ 95

A power network simulator with a Reinforcement Learning-focused usage.

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

Racecar_gym ⭐ 87

A gym environment for a miniature racecar using the pybullet physics engine.

Malware_rl ⭐ 86

Malware Bypass Research using Reinforcement Learning

Furniture Bench ⭐ 75

FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)

Open source collection of Reinforcement Learning Environments.

Gym environments and agents for autonomous driving.

Driver Dojo ⭐ 51

A benchmark towards generalizable reinforcement learning for autonomous driving.

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

Rl Emspy ⭐ 41

API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API

RealAnt robot platform for low-cost, real-world reinforcement learning

Pushworld ⭐ 40

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

Vsrl Framework ⭐ 37

The Verifiably Safe Reinforcement Learning Framework

Gym Hybrid ⭐ 36

Collection of OpenAI parametrized action-space environments.

Command Modern Operations Learning Environment

Rubikscubegym ⭐ 32

OpenAI Gym environments for various twisty puzzles

Optical Rl Gym ⭐ 31

Set of reinforcement learning environments for optical networks

Simple Playgrounds ⭐ 27

Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.

Modelicagym ⭐ 25

Modelica models integration with Open AI Gym

Sofa_env ⭐ 25

Reinforcement learning environments for robot-assisted laparoscopic surgery

Veins Gym ⭐ 24

Reinforcement Learning-based VANET simulations

Reinforcement learning for unit commitment

Robo Gym Robot Servers ⭐ 22

Repository containing Robot Servers ROS packages

Beobench ⭐ 21

A toolkit providing easy and unified access to building control environments for reinforcement learning (RL).

Gym Adserver ⭐ 19

An OpenAI gym environment for ad serving algorithms

Chargym Charging Station ⭐ 18

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intel

Gym Simplegrid ⭐ 18

Simple Gridworld Gymnasium Environment

[ICLR2023] Learning Simultaneous Navigation and Construction in Grid Worlds

Gymprecice ⭐ 18

A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.

Deep_maze ⭐ 16

Gym Cartpole Swingup ⭐ 16

A simple, continuous-control environment for OpenAI Gym

Gym Classics ⭐ 15

Classic environments for reinforcement learning and dynamic programming, implemented in OpenAI Gym and Gymnasium.

Realistic RL environments for vehicle fleets

Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”

The Core Reinforcement Learning library is intended to enable scalable deep reinforcement learning experimentation in a manner extensible to new simulations and new ways for the learning agents to interact with them. The hope is that this makes RL research easier by removing lock-in to particular simulations.The work is released under the follow APRS approval. Initial release of CoRL - Part #1 -Approved on 2022-05-2024 12:08:51 - PA Approval # [AFRL-2022-2455]" Documentation https://act3-ace.g

An open-source wildfire simulator written in Python and meant to be used to train reinforcement learning (RL) agents.

Network Slicing ⭐ 14

Network slicing gym environment and a model-based RL agent with kernels

sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading

Active Gym ⭐ 12

Environments for Active Vision Reinforcement Learning

Maplewrapper ⭐ 12

Maplestory GMS v.92 and below wrapper api. Extract real-time game information to enable reinforcement learning environments and bots.

A tool for developing reinforcement learning algorithms focused in stock prediction

Interoperating between (Deep) Reiforcement Learning libraries

Conditional Growth ⭐ 9

Grow virtual creatures in static and physics simulated environments.

Rlenvs_from_cpp ⭐ 9

C++ wrappers of OpenAI-Gym environments

Racingcarla ⭐ 8

Learning Model Predictive Control (LMPC) for autonomous racing in CARLA 3D environment.

Drl_snakey ⭐ 8

深度强化学习贪吃蛇游戏。拥有完整游戏环境与AI接口。（项目未完成）

Gym Stag Hunt ⭐ 6

A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.

Mocca_envs ⭐ 6

Spacexreinforcementlearning ⭐ 6

SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.

Min Carla Env ⭐ 5

2d Deep Reinforcement Learning environment with Carla

Wolf3d Golang ⭐ 5

This project combines the power of reinforcement learning with a custom raycasting game engine written in Golang, reminiscent of the classic Wolf3D game.

Reinforcement_learning_mouse_vs_cat ⭐ 5

Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).

Deepparticlerobot ⭐ 5

[ICRA'22] A Deep Reinforcement Learning Environment for Particle Robot Navigation and Object Manipulation

Flai is virtual platform for developing and comparing reinforcement learning algorithms for travel

Beer Game Env ⭐ 5

Beer Game implemented as an OpenAI gym environment.

Reinforcement learning environment for no limit texas hold'em

Reinforcementlearning ⭐ 5

Reinforcement Learning Algorithms

A Gymnasium-based Environment of the Abstraction and Reasoning Corpus (ARC)

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