cnmy-ro / ART-visualLinks
Implementation of the Adaptive Resonance Theory (ART) architectures - Fuzzy ART and Fuzzy ARTMAP - for pattern recognition
☆11Updated 6 years ago
Alternatives and similar repositories for ART-visual
Users that are interested in ART-visual are comparing it to the libraries listed below
Sorting:
- ☆11Updated 5 years ago
- [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola P…☆14Updated 3 years ago
- Reinforcement learning for deep brain stimulation (DBS) modeling☆25Updated 3 years ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Updated 2 years ago
- This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement …☆15Updated 4 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Updated last year
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 3 years ago
- NuART-Py: Python Library of Adaptive Resonance Theory Neural Network☆10Updated 5 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆18Updated 5 years ago
- Panda with Deep Reinforcement Learning Simulation Environment Webots☆10Updated 4 years ago
- Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow☆15Updated 6 years ago
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Updated 4 years ago
- panda_gym integration to use an AI to move the real robot☆11Updated 4 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆16Updated 4 years ago
- Implementation of Deep Q-Network(DQN)and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Posted at AAAI 2023☆11Updated 2 months ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- ☆19Updated 6 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆34Updated 5 years ago
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- This is the code for GA-DRL-Aubo paper☆14Updated 3 years ago
- ☆14Updated 3 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- Model-based reinforcement learning using CEM, MPC and PETS☆16Updated 6 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Updated 2 years ago
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆11Updated 4 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 7 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago