[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
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Updated
Dec 7, 2022 - Python
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Pytorch implementation of intrinsic curiosity module with proximal policy optimization
Reproduction of Curiosity-driven Exploration by Self-supervised Prediction in PyTorch
MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning
[ICTAI 2018] This code is a TensorFlow implementation of the paper "Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning"
Reinforcement Learning Research Project - World models that are continuously updated as curious agents explore the environment - Course project for Foundations of Intelligent and Learning Agents(CS747)
[AAAI-22] Curiosity-based objective for exploration with reinforcement learning in state-based and vision-based environments.
An app that enables the user to view pictures clicked on Mars🔴 by various NASA rovers including Curiosity!
Script that allows you to scan for unauthenticated public wifi hotspots and get their IP address. This is a proof of concept script written to help map out public wifi spots and should not be used for malicious purposes. It was written out of boredom and curiosity.
An exploration of the effects of Intrinsic Motivation methods on RL algorithms using Atari games.
RL framework comparing how well a DQN learns using epsilon-greedy exploration compared with intrinsic motivation.
CuriosityJar | The Collection of Curiosity
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