Pinned Repositories
AI_Class
Compressive-Averaging
Code for the paper Improving Survey Aggregation with Sparsely Represented Signals
ddpg-pytorch
PyTorch implementation of DDPG for continuous control tasks.
Deep_Reinforcement_Learning_and_Search_Class
DeepCubeA
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
DeepCubeA_Exercises
Exercises to Understand the DeepCubeA Algorithm
deepxube
Learn a domain-specific heuristic function in a domain-independent fashion to solve pathfinding problems while incorporating formal logic.
DeepXubeData
Learned-Activation-Functions-Source
For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/abs/1412.6830
SpecGoal
Code for Specifying Goals to Deep Neural Networks with Answer Set Programming
forestagostinelli's Repositories
forestagostinelli/DeepCubeA
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
forestagostinelli/Learned-Activation-Functions-Source
For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/abs/1412.6830
forestagostinelli/AI_Class
forestagostinelli/DeepCubeA_Exercises
Exercises to Understand the DeepCubeA Algorithm
forestagostinelli/Deep_Reinforcement_Learning_and_Search_Class
forestagostinelli/deepxube
Learn a domain-specific heuristic function in a domain-independent fashion to solve pathfinding problems while incorporating formal logic.
forestagostinelli/SpecGoal
Code for Specifying Goals to Deep Neural Networks with Answer Set Programming
forestagostinelli/Compressive-Averaging
Code for the paper Improving Survey Aggregation with Sparsely Represented Signals
forestagostinelli/ddpg-pytorch
PyTorch implementation of DDPG for continuous control tasks.
forestagostinelli/DeepXubeData
forestagostinelli/Popper
Popper is an inductive logic programming (ILP) system.