Pinned Repositories
code-push
emphasis
indep_num
MDFT
In this project, we design a recurrent neural network to simulate a cognitive model of decision-making called Multi Alternative Decision Field Theory (MDFT). We train this RNN to learn the parameters of MDFT.
mlba_ml
In this project, we implement various hybrid models based on a cognitive model of decision making, MLBA, and neural networks to find a balance between explainability and prediction accuracy in human decision prediciton tasks.
profiler
A python package providing simple profiling tools and reports
saul
Saul : Declarative Learning-Based Programming
soft_constraint_irl
In this project, we use the maximum entropy principle in Inverse reinforcement learning to learn soft constraints from demonstrations obtained from an agent interacting with a non-deterministic MDP. In the second part of this project, we implement various strategies (orchestrators) to mix conflicting policies (e.g. pragmatic vs ethical). In one of these orchestrators, we use a cognitive model of decision making (MDFT) to enable the agent to make human-like decisions.
SpRL
Spatial Role Labeling
wordnet_pan
Author obfuscation using WordNet and language models
Rahgooy's Repositories
Rahgooy/emphasis
Rahgooy/MDFT
In this project, we design a recurrent neural network to simulate a cognitive model of decision-making called Multi Alternative Decision Field Theory (MDFT). We train this RNN to learn the parameters of MDFT.
Rahgooy/soft_constraint_irl
In this project, we use the maximum entropy principle in Inverse reinforcement learning to learn soft constraints from demonstrations obtained from an agent interacting with a non-deterministic MDP. In the second part of this project, we implement various strategies (orchestrators) to mix conflicting policies (e.g. pragmatic vs ethical). In one of these orchestrators, we use a cognitive model of decision making (MDFT) to enable the agent to make human-like decisions.
Rahgooy/code-push
Rahgooy/indep_num
Rahgooy/mlba_ml
In this project, we implement various hybrid models based on a cognitive model of decision making, MLBA, and neural networks to find a balance between explainability and prediction accuracy in human decision prediciton tasks.
Rahgooy/profiler
A python package providing simple profiling tools and reports
Rahgooy/saul
Saul : Declarative Learning-Based Programming
Rahgooy/SpRL
Spatial Role Labeling
Rahgooy/wordnet_pan
Author obfuscation using WordNet and language models