Proximal Policy Optimization
GPTKB entity
Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:machine_learning
|
| gptkbp:applies_to |
Policy Gradient Methods
|
| gptkbp:can_be_used_with |
gptkb:neural_networks
|
| gptkbp:can_handle |
High-Dimensional Action Spaces
|
| gptkbp:developed_by |
gptkb:Open_AI
|
| gptkbp:has_function |
gptkb:Epsilon
Learning Rate Batch Size |
| https://www.w3.org/2000/01/rdf-schema#label |
Proximal Policy Optimization
|
| gptkbp:improves |
Stability of Training
|
| gptkbp:introduced_in |
gptkb:2017
|
| gptkbp:is_adopted_by |
gptkb:Industry
Academia |
| gptkbp:is_based_on |
Policy Gradient Theorem
|
| gptkbp:is_compared_to |
gptkb:Trust_Region_Policy_Optimization
gptkb:Deep_Q-Networks Actor-Critic Methods |
| gptkbp:is_considered_as |
State-of-the-Art Algorithm
|
| gptkbp:is_documented_in |
Research Papers
Technical Reports |
| gptkbp:is_evaluated_by |
Training Time
Policy Stability Convergence Rate Cumulative Reward Average Reward Policy Performance Exploration Efficiency Sample Complexity |
| gptkbp:is_implemented_in |
gptkb:Stable_Baselines
gptkb:Tensor_Flow gptkb:Py_Torch gptkb:Open_AI_Baselines |
| gptkbp:is_influenced_by |
Trust Region Methods
REINFORCE Algorithm |
| gptkbp:is_known_for |
Sample Efficiency
|
| gptkbp:is_optimized_for |
Policy Updates
|
| gptkbp:is_part_of |
Deep Learning Techniques
Reinforcement Learning Frameworks |
| gptkbp:is_popular_in |
Machine Learning Research
Artificial Intelligence Community |
| gptkbp:is_related_to |
gptkb:Trust_Region_Policy_Optimization
|
| gptkbp:is_supported_by |
Community Contributions
Open Source Libraries |
| gptkbp:is_tested_for |
gptkb:Atari_Games
Continuous Control Tasks Benchmark Environments Robotic Simulations |
| gptkbp:is_used_for |
Value Function Approximation
Policy Learning Training Agents |
| gptkbp:is_used_in |
gptkb:robotics
Real-World Applications Game Playing Simulated Environments |
| gptkbp:security |
Hyperparameter Sensitivity
|
| gptkbp:suitable_for |
Discrete Action Spaces
Continuous Action Spaces |
| gptkbp:uses |
Clipped Objective Function
|
| gptkbp:bfsParent |
gptkb:Deep_Reinforcement_Learning
|
| gptkbp:bfsLayer |
4
|