saschaschramm/TemporalDifferenceLearning saschaschramm/TemporalDifferenceLearning

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Python
  • Created almost 7 years ago
  • Updated over 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
saschaschramm/TemporalDifferenceLearning
github

saschaschramm

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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).

More Repositories

1

chatgpt

Analysis of OpenAI's ChatGPT
Jupyter Notebook
148
star
2

github-copilot

Analysis of the Github Copilot extension
Python
106
star
3

SwiftReinforce

Implementation of the Reinforce algorithm using Swift for Tensorflow.
Swift
11
star
4

MonteCarloTreeSearch

This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.
Python
7
star
5

PopulationBasedTraining

Asynchronous optimisation algorithm to optimise a population of models and their hyperparameters.
Python
5
star
6

LearningFromDemonstration

This project is a simplified implementation of the learning from demonstration algorithm developed by OpenAI.
Python
3
star
7

tiny-chatgpt

Researching the reinforcement learning algorithm of ChatGPT
Jupyter Notebook
1
star
8

diff-gpt

Incremental algorithm for program synthesis
Python
1
star
9

MoveToBeacon

Application of Reinforcement Learning on StarCraft.
Python
1
star
10

slowloris

Python
1
star
11

best-of-n-sampling

Toy example for best-of-n-sampling
1
star
12

Pong

Application of different Reinforcement Learning algorithms on the Atari game Pong.
Python
1
star
13

chatgpt-eval-plugin

Very simple example of a ChatGPT plugin
Python
1
star