Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software_framework
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:stadium
|
| gptkbp:adapted_into |
educational settings
real-world applications |
| gptkbp:analyzes |
grid layout
|
| gptkbp:applies_to |
grid world environments
|
| gptkbp:based_on |
Markov decision processes
|
| gptkbp:can_be_extended_by |
deep learning techniques
|
| gptkbp:can_be_used_with |
Q-learning
|
| gptkbp:challenges |
complex scenarios
state space complexity |
| gptkbp:developed_by |
gptkb:Open_AI
|
| gptkbp:emulation |
various programming environments
|
| gptkbp:features |
discrete action space
discrete state space |
| gptkbp:focuses_on |
reinforcement learning concepts
|
| gptkbp:goal |
maximize cumulative reward
|
| gptkbp:has_variants |
Taxi-v2
|
| https://www.w3.org/2000/01/rdf-schema#label |
Taxi-v3
|
| gptkbp:includes |
fuel management
passenger destination taxi agent |
| gptkbp:is_accessible_by |
gptkb:University
|
| gptkbp:is_analyzed_in |
case studies
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_compatible_with |
various libraries
|
| gptkbp:is_documented_in |
tutorials
Open AI documentation |
| gptkbp:is_enhanced_by |
transfer learning
|
| gptkbp:is_evaluated_by |
performance metrics
simulation results reward function |
| gptkbp:is_explored_in |
workshops
research articles academic papers interactive tutorials |
| gptkbp:is_implemented_in |
gptkb:Library
|
| gptkbp:is_influential_in |
gptkb:Research_Institute
|
| gptkbp:is_integrated_with |
machine learning frameworks
|
| gptkbp:is_part_of |
gptkb:stadium
AI competitions AI research projects AI curriculum reinforcement learning benchmarks |
| gptkbp:is_popular_in |
AI community
|
| gptkbp:is_recognized_by |
AI practitioners
a classic problem in AI. |
| gptkbp:is_related_to |
multi-agent systems
|
| gptkbp:is_similar_to |
grid world problems
|
| gptkbp:is_supported_by |
community contributions
online forums |
| gptkbp:is_tested_for |
simulated environments
various agents other algorithms |
| gptkbp:is_used_for |
performance benchmarking
algorithm comparison |
| gptkbp:is_used_in |
educational purposes
|
| gptkbp:is_utilized_in |
algorithm development
robotics research data science education |
| gptkbp:requires |
exploration and exploitation
|
| gptkbp:suitable_for |
beginner reinforcement learning practitioners
|
| gptkbp:used_in |
reinforcement learning research
|