Bencee16

RL-Double-Q-learning

A project comparing regular and double Q-learning reinforcement learning algorithms on different grid-world environments

babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

bokeh

exploring bokeh and github pages

cifar_1k

Image_classification

An image classification project. I used the cifar10 dataset and compared a regular Feed-forward Neural Network's performance with Convolutional Neural Network.

interactive-risk

nbinteract-tutorial

Neural_Machine_Translation_with_attention

Reinforcement-Learning-Actor-Critic

School project in RL, featuring algorithms like Deep Q-Network, Policy Gradient and Actor-Critic

Reinforcement-Learning-TD-learning

A school project that features mutliple reinforcement algorithms: policy and value iteration, Monte-Carlo prediction and control and Temporal Difference Learning

Bencee16/cifar_1k

Bencee16/interactive-risk

Bencee16/nbinteract-tutorial

Bencee16/bokeh

exploring bokeh and github pages

Bencee16/Neural_Machine_Translation_with_attention

Bencee16/Image_classification

An image classification project. I used the cifar10 dataset and compared a regular Feed-forward Neural Network's performance with Convolutional Neural Network.

Bencee16/RL-Double-Q-learning

A project comparing regular and double Q-learning reinforcement learning algorithms on different grid-world environments

Bencee16/Reinforcement-Learning-Actor-Critic

School project in RL, featuring algorithms like Deep Q-Network, Policy Gradient and Actor-Critic

Bencee16/Reinforcement-Learning-TD-learning

A school project that features mutliple reinforcement algorithms: policy and value iteration, Monte-Carlo prediction and control and Temporal Difference Learning

Bencee16/babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.