|
gptkbp:instance_of
|
gptkb:stadium
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Mountain_Car-v0
|
|
gptkbp:based_on
|
Markov Decision Processes
|
|
gptkbp:can_be_extended_by
|
Custom Environments
|
|
gptkbp:contains
|
gptkb:Cart_Pole-v1
gptkb:Mountain_Car-v0
gptkb:Acrobot-v1
Pendulum-v0
|
|
gptkbp:developed_by
|
gptkb:Open_AI
|
|
gptkbp:features
|
Visualizations
Action Space
Reward System
Observation Space
|
|
gptkbp:has
|
gptkb:archive
|
|
gptkbp:has_documentation
|
gptkb:Online
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Open AI Gym Classic Control
|
|
gptkbp:is_available_on
|
gptkb:lake
gptkb:Anaconda
gptkb:Py_PI
|
|
gptkbp:is_compatible_with
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_integrated_with
|
gptkb:Stable_Baselines
gptkb:Open_AI_Baselines
Ray Rllib
|
|
gptkbp:is_part_of
|
Machine Learning Frameworks
AI Curriculum
Reinforcement Learning Frameworks
Simulation Frameworks
Open AI Gym Environments
|
|
gptkbp:is_popular_in
|
AI Community
|
|
gptkbp:is_supported_by
|
Research Institutions
Universities
Community Contributions
Industry Partners
Open AIAPI
|
|
gptkbp:is_tested_for
|
gptkb:A3_C
gptkb:DDPG
gptkb:DQN
TRPO
PPO
Reinforcement Learning Algorithms
|
|
gptkbp:is_used_for
|
Competitions
Benchmarking
Algorithm Testing
|
|
gptkbp:is_used_in
|
gptkb:Workshops
gptkb:Educational_Institution
gptkb:Research_Institute
Hackathons
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:provides
|
Standardized API
|
|
gptkbp:purpose
|
gptkb:software_framework
|
|
gptkbp:release_date
|
gptkb:2016
|
|
gptkbp:supports
|
Python Libraries
|
|
gptkbp:tutorials
|
Online Courses
|
|
gptkbp:type
|
Simulation Environment
|