🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
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Updated
Dec 8, 2022 - C++
🎮 [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Notes and comments about Deep Reinforcement Learning papers
An exploration of the free energy principle using deep reinforcement learning
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
Simulating Human-like Daily Activities with Desire-driven Autonomy
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
Master's thesis on model-based intrinsically motivated reinforcement learning in robotic control
Official PyTorch Implementation of Our Paper Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
Playroom Framework: Reinforcement Learning Platform with Intrinsic Motivation
[IJCAI 2024] Constrained Intrinsic Motivation for Reinforcement Learning
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
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.
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