🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!

Notes and comments about Deep Reinforcement Learning papers

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

An exploration of the free energy principle using deep reinforcement learning

Using multiple sensor modalities to improve exploration for robotic manipulation tasks with sparse rewards

[DSN 2024] Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy

Common repository for our readings and discussions

Pytorch based library containing reinforcement learning agents with forward models and intrinsic motivation modules

Socio-Emotional Reward Design for Intrinsically-Motivated Reinforcement Learning Agents

Official PyTorch Implementation of Our Paper Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks

Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control

Playroom Framework: Reinforcement Learning Platform with Intrinsic Motivation

Self-supervised Network Distillation is class of intrinsic motivation algorithms for reinforcement learning

An exploration of the effects of Intrinsic Motivation methods on RL algorithms using Atari games.

This is the code repository for my thesis

[IJCAI 2024] Constrained Intrinsic Motivation for Reinforcement Learning

mixed-Reality Cycling Experience using Arduino, Arduino Code, Unity, C# and BLE to broadcast real-time cycling movement from static bicycles to Virtual Reality.

Ising model simulation to compare various intrinsic utility measures.