Statements (74)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:concept
|
| gptkbp:aims_to |
improve decision making
|
| gptkbp:applies_to |
gptkb:simulation
|
| gptkbp:can_be_used_for |
gptkb:robotics
|
| gptkbp:challenges |
generalization
model accuracy environmental variability |
| gptkbp:developed_by |
gptkb:Deep_Mind
complex tasks simulation techniques |
| gptkbp:enables |
model-based reinforcement learning
|
| https://www.w3.org/2000/01/rdf-schema#label |
World Models
|
| gptkbp:involves |
gptkb:neural_networks
|
| gptkbp:is_analyzed_in |
efficiency
academic literature |
| gptkbp:is_applied_in |
gptkb:video_games
dynamic systems |
| gptkbp:is_associated_with |
data efficiency
|
| gptkbp:is_challenged_by |
data scarcity
computational limits real-world complexity |
| gptkbp:is_connected_to |
knowledge representation
system dynamics agent-based modeling |
| gptkbp:is_enhanced_by |
feedback mechanisms
parallel processing multi-agent systems computational power transfer learning techniques |
| gptkbp:is_evaluated_by |
performance metrics
human performance |
| gptkbp:is_explored_in |
algorithm development
case studies experiments neuroscience theoretical research robotic control |
| gptkbp:is_facilitated_by |
unsupervised learning
|
| gptkbp:is_fundamental_to |
predictive coding
predictive modeling intelligent behavior |
| gptkbp:is_influenced_by |
Bayesian inference
cognitive science |
| gptkbp:is_informed_by |
human cognition
|
| gptkbp:is_integrated_with |
deep learning
|
| gptkbp:is_linked_to |
exploration strategies
|
| gptkbp:is_maintained_by |
iterative learning
|
| gptkbp:is_part_of |
cognitive architectures
|
| gptkbp:is_reflected_in |
AI applications
AI performance metrics |
| gptkbp:is_related_to |
environment modeling
|
| gptkbp:is_studied_in |
artificial general intelligence
|
| gptkbp:is_supported_by |
gptkb:open-source_software
theoretical frameworks collaborative research |
| gptkbp:is_tested_for |
real-world scenarios
simulated environments controlled experiments benchmark tasks |
| gptkbp:is_trained_in |
data
|
| gptkbp:is_utilized_for |
game AI
|
| gptkbp:is_utilized_in |
gptkb:virtual_reality
gptkb:vehicles gptkb:AI_technology |
| gptkbp:key |
adaptive learning
self-supervised learning learning efficiency |
| gptkbp:notable_contributor |
gptkb:scientific_community
|
| gptkbp:related_to |
gptkb:Artificial_Intelligence
gptkb:machine_learning |
| gptkbp:support |
transfer learning
|
| gptkbp:used_in |
reinforcement learning
|
| gptkbp:bfsParent |
gptkb:David_Ha
|
| gptkbp:bfsLayer |
6
|