|
gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
|
gptkb:Deep_AI
|
|
gptkbp:aims_to
|
Optimize Actions
|
|
gptkbp:applies_to
|
gptkb:software_framework
gptkb:robot
|
|
gptkbp:can_lead_to
|
Overfitting
Underexploration
|
|
gptkbp:challenges
|
High Dimensionality
Long Training Times
Sparse Rewards
|
|
gptkbp:developed_by
|
gptkb:Deep_AI
|
|
gptkbp:focuses_on
|
Decision Making
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep AI Reinforcement Learning
|
|
gptkbp:involves
|
Reward Systems
|
|
gptkbp:is_documented_in
|
gptkb:municipality
Online Courses
Research Papers
Technical Blogs
|
|
gptkbp:is_enhanced_by
|
gptkb:streaming_service
Curriculum Learning
|
|
gptkbp:is_evaluated_by
|
Performance Metrics
Real-World Applications
Simulation Environments
|
|
gptkbp:is_implemented_in
|
gptkb:Library
|
|
gptkbp:is_influenced_by
|
Human Feedback
|
|
gptkbp:is_part_of
|
gptkb:Deep_AI_Platform
|
|
gptkbp:is_popular_in
|
gptkb:film_production_company
gptkb:Research_Institute
|
|
gptkbp:is_related_to
|
gptkb:Artificial_Neural_Networks
gptkb:Deep_Learning
gptkb:Deep_Q-Networks
Supervised Learning
Unsupervised Learning
Markov Decision Processes
Q-Learning
Actor-Critic Methods
Policy Gradients
|
|
gptkbp:is_supported_by
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_used_for
|
gptkb:computer
gptkb:engine
Chatbots
Recommendation Systems
Self-Driving Cars
Game AI
Personal Assistants
|
|
gptkbp:is_used_in
|
gptkb:football_match
gptkb:public_transportation_system
Finance
Game Development
Healthcare
|
|
gptkbp:requires
|
Exploration and Exploitation
|
|
gptkbp:uses
|
gptkb:Artificial_Intelligence
|
|
gptkbp:utilizes
|
gptkb:microprocessor
|