saschaschramm/Pong

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Python
Created over 6 years ago
Updated about 6 years ago

saschaschramm/Pong

saschaschramm

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Application of different Reinforcement Learning algorithms on the Atari game Pong.

chatgpt

Analysis of OpenAI's ChatGPT

Jupyter Notebook

github-copilot

Analysis of the Github Copilot extension

SwiftReinforce

Implementation of the Reinforce algorithm using Swift for Tensorflow.

MonteCarloTreeSearch

This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.

PopulationBasedTraining

Asynchronous optimisation algorithm to optimise a population of models and their hyperparameters.

LearningFromDemonstration

This project is a simplified implementation of the learning from demonstration algorithm developed by OpenAI.

TemporalDifferenceLearning

Temporal-difference learning is a method to compute the values of all states by sampling the environment. It approximates the current estimate of a state value based on previously learned estimates (bootstrapping).

tiny-chatgpt

Researching the reinforcement learning algorithm of ChatGPT

Jupyter Notebook

diff-gpt

Incremental algorithm for program synthesis

MoveToBeacon

Application of Reinforcement Learning on StarCraft.

slowloris

best-of-n-sampling

Toy example for best-of-n-sampling

chatgpt-eval-plugin

Very simple example of a ChatGPT plugin