Topic: reinforcement-learning-environments Goto Github
Some thing interesting about reinforcement-learning-environments
Some thing interesting about reinforcement-learning-environments
reinforcement-learning-environments,Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)
User: alxndrtl
reinforcement-learning-environments,Deep Reinforcement Learning in C#
User: asieradzk
reinforcement-learning-environments,A gym environment for a miniature racecar using the pybullet physics engine.
User: axelbr
reinforcement-learning-environments,Gym environments and agents for autonomous driving.
Organization: bark-simulator
Home Page: https://bark-simulator.github.io/
reinforcement-learning-environments,Malware Bypass Research using Reinforcement Learning
User: bfilar
reinforcement-learning-environments,High Fidelity Simulator for Reinforcement Learning and Robotics Research.
Organization: byu-pccl
Home Page: https://holodeck.cs.byu.edu
reinforcement-learning-environments,Set of reinforcement learning environments for optical networks
User: carlosnatalino
reinforcement-learning-environments,Grow virtual creatures in static and physics simulated environments.
User: cfusting
reinforcement-learning-environments,A simple, easy, customizable Gymnasium environment for trading.
User: clementperroud
Home Page: https://gym-trading-env.readthedocs.io/
reinforcement-learning-environments,IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Organization: clvrai
Home Page: https://clvrai.com/furniture
reinforcement-learning-environments,FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
Organization: clvrai
Home Page: https://clvrai.com/furniture-bench/
reinforcement-learning-environments,Assetto Corsa OpenAI Gym Environment
User: dasgringuen
Home Page: https://assetto-corsa-gym.github.io/
reinforcement-learning-environments,Command Modern Operations Learning Environment
User: duyminh1998
reinforcement-learning-environments,Robotic simulation in Unity with ROS integration.
Organization: fsstudio-team
Home Page: https://roboticsimulationservices.com/
reinforcement-learning-environments,This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Organization: future-power-networks
reinforcement-learning-environments,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 Intelligent Control (IC).
User: georkara
reinforcement-learning-environments,AI4U is a plugin that allows you use the Godot Game Engine to specify agents with reinforcement learning. Non-Player Characters (NPCs) of games can be designed using ready-made components.
User: gilzamir18
reinforcement-learning-environments,PushWorld: A benchmark for manipulation planning with tools and movable obstacles
Organization: google-deepmind
reinforcement-learning-environments,Check out the new game server:
Organization: google-research
Home Page: https://research-football.dev
reinforcement-learning-environments,The Verifiably Safe Reinforcement Learning Framework
Organization: ibm
reinforcement-learning-environments,An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
User: igilitschenski
reinforcement-learning-environments,UAV Flight Simulator for Reinforcement Learning Research
User: jjshoots
Home Page: https://taijunjet.com/PyFlyt/documentation.html
reinforcement-learning-environments,An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Organization: jr-robotics
Home Page: https://sites.google.com/view/robo-gym
reinforcement-learning-environments,A one-stop package for different reinforcement learning environments
Organization: juliareinforcementlearning
reinforcement-learning-environments,UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
User: leehe228
reinforcement-learning-environments,A power network simulator with a Reinforcement Learning-focused usage.
User: marvinler
Home Page: https://pypownet.readthedocs.io/
reinforcement-learning-environments,API for RL algorithm design & testing of BCA (Building Control Agent) HVAC on EnergyPlus building energy simulator by wrapping their EMS Python API
User: mechyai
reinforcement-learning-environments,BabyAI platform. A testbed for training agents to understand and execute language commands.
Organization: mila-iqia
reinforcement-learning-environments,A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
User: ncbdrck
reinforcement-learning-environments,Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
User: nsidn98
Home Page: https://nsidn98.github.io/InforMARL/
reinforcement-learning-environments,An OpenAi Gym environment for the Job Shop Scheduling problem.
Organization: prosysscience
reinforcement-learning-environments,Reinforcement learning for unit commitment
User: pwdemars
reinforcement-learning-environments,The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
User: qxcv
Home Page: https://arxiv.org/pdf/2011.00401.pdf
reinforcement-learning-environments,This repo contains a curative list of robot learning (mainly for manipulation) resources.
User: rayyoh
reinforcement-learning-environments,An easy-to-use reinforcement learning library for research and education.
Organization: rlberry-py
Home Page: https://rlberry-py.github.io/rlberry
reinforcement-learning-environments,A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
User: roboserg
reinforcement-learning-environments,Grid2Op a testbed platform to model sequential decision making in power systems.
Organization: rte-france
Home Page: https://grid2op.readthedocs.io/
reinforcement-learning-environments,C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Organization: sail-sg
Home Page: https://envpool.readthedocs.io
reinforcement-learning-environments,A benchmark towards generalizable reinforcement learning for autonomous driving.
User: seawee1
reinforcement-learning-environments,Open source collection of Reinforcement Learning Environments.
User: shivaverma
reinforcement-learning-environments,Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
Organization: sotopia-lab
Home Page: https://docs.sotopia.world
reinforcement-learning-environments,An OpenAI Gym environment for the Flappy Bird game
User: talendar
reinforcement-learning-environments,Collection of OpenAI parametrized action-space environments.
User: thomashirtz
reinforcement-learning-environments,ns3-gym - The Playground for Reinforcement Learning in Networking Research
Organization: tkn-tub
reinforcement-learning-environments,Reinforcement Learning-based VANET simulations
Organization: tkn-tub
Home Page: https://www2.tkn.tu-berlin.de/software/veins-gym/
reinforcement-learning-environments,Modelica models integration with Open AI Gym
Organization: ucuapps
reinforcement-learning-environments,Gym environment for building simulation and control using reinforcement learning
Organization: ugr-sail
Home Page: https://ugr-sail.github.io/sinergym/
reinforcement-learning-environments,SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.
User: ugurkanates
Home Page: https://medium.com/@paypaytr/spacex-falcon-9-landing-with-rl-7dde2374eb71
reinforcement-learning-environments,Showcase environment for ML-Agents
Organization: unity-technologies
reinforcement-learning-environments,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.
User: wanxinjin
Home Page: https://wanxinjin.github.io/Pontryagin-Differentiable-Programming/
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