forestagostinelli

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/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.