Topic: gym-environment Goto Github
Some thing interesting about gym-environment
Some thing interesting about gym-environment
gym-environment,Multi-rotor Gym
User: adipandas
gym-environment,POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
Organization: airi-institute
gym-environment,A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
User: aminhp
gym-environment,Lightweight multi-agent gridworld Gym environment
User: arnaudfickinger
gym-environment,A library for neuroscience-inspired navigation and decision making research.
User: awjuliani
gym-environment,A gym environment for a miniature racecar using the pybullet physics engine.
User: axelbr
gym-environment,An OpenAI Gym environment wrapper for the Mupen64Plus N64 emulator
User: bzier
gym-environment,A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
User: chuacheowhuan
Home Page: https://chuacheowhuan.github.io
gym-environment,A collection of multi-agent reinforcement learning OpenAI gym environments
User: cjm715
gym-environment,A simple, easy, customizable Gymnasium environment for trading.
User: clementperroud
Home Page: https://gym-trading-env.readthedocs.io/
gym-environment,Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
User: curt-park
gym-environment,Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
User: dalmia
gym-environment,Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Organization: datamllab
Home Page: http://www.rlcard.org
gym-environment,Adversarial attacks on Deep Reinforcement Learning (RL)
User: davide97l
gym-environment,Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
User: dickreuter
gym-environment,Scalable Implementation of Neural Fictitous Self-Play
User: ericsteinberger
gym-environment,Framework for Multi-Agent Deep Reinforcement Learning in Poker
User: ericsteinberger
gym-environment,A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Organization: evolutiongym
Home Page: https://evolutiongym.github.io/
gym-environment,A minimalist environment for decision-making in autonomous driving
Organization: farama-foundation
Home Page: https://highway-env.farama.org/
gym-environment,An API conversion tool for popular external reinforcement learning environments
Organization: farama-foundation
Home Page: https://shimmy.farama.org
gym-environment,Reinforcement Learning environments based on the 1993 game Doom :godmode:
Organization: farama-foundation
Home Page: https://vizdoom.farama.org/
gym-environment,This projects aims to use reinforcement learning algorithms to play the game 2048.
User: felipemarcelino
gym-environment,The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.
User: idthanm
gym-environment,Scalable, event-driven, deep-learning-friendly backtesting library
User: kismuz
Home Page: https://kismuz.github.io/btgym/
gym-environment,A Gym-like environment for Reinforcement Learning in Rocket League
User: lucas-emery
gym-environment,An OpenAI Gym Env for Panda
User: mahyaret
gym-environment,Challenging Memory-based Deep Reinforcement Learning Agents
User: marcometer
gym-environment,This repository contains the source code for a gym website, implemented as a single page application (SPA) using HTML, CSS, and JavaScript.
User: mian-ali
Home Page: https://mian-ali.github.io/GymWebsite/
gym-environment,OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
User: nicrusso7
gym-environment,PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
User: nikhilbarhate99
gym-environment,Visually Realistic Underwater Robotics Simulator UNav-Sim
Organization: open-airlab
gym-environment,Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Organization: openquadruped
Home Page: https://moribots.github.io/project/spot-mini-mini
gym-environment,A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
User: pauldanielml
gym-environment,VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Organization: proroklab
Home Page: https://vmas.readthedocs.io
gym-environment,A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Organization: ratinabox-lab
gym-environment,MovieLens recommendation system using reinforcement learning (GYM + PPO)
User: sadighian
gym-environment,OpenAI Gym Environment API based Bitcoin trading environment
User: samre12
gym-environment,💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
User: sdsubhajitdas
gym-environment,A benchmark towards generalizable reinforcement learning for autonomous driving.
User: seawee1
gym-environment,a unified environment for supervised learning and reinforcement learning in the context of quantitative trading
Organization: stateoftheart-quant
gym-environment,An OpenAI Gym environment for the Flappy Bird game
User: talendar
gym-environment,ns3-gym - The Playground for Reinforcement Learning in Networking Research
Organization: tkn-tub
gym-environment,This Reinforcement learning agent uses Policy-Gradient method to trade the market
User: traderben00
gym-environment,Fully differentiable RL environments, written in Ivy.
Organization: transpile-ai
Home Page: https://unify.ai
gym-environment,Obstacle Tower Environment
Organization: unity-technologies
gym-environment,Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
Organization: upb-lea
Home Page: https://upb-lea.github.io/gym-electric-motor/
gym-environment,Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Organization: woodoxen
Home Page: https://tactics2d.readthedocs.io/en/latest/
gym-environment,Easily implement custom Gymnasium environments for real-time applications
User: yannbouteiller
gym-environment,深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
User: zhaohaojie1998
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