combra-lab / pop-spiking-deep-rlView external linksLinks
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
☆64Dec 15, 2021Updated 4 years ago
Alternatives and similar repositories for pop-spiking-deep-rl
Users that are interested in pop-spiking-deep-rl are comparing it to the libraries listed below
Sorting:
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆78Oct 31, 2021Updated 4 years ago
- The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.☆13Apr 18, 2023Updated 2 years ago
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆15Apr 12, 2023Updated 2 years ago
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆21May 26, 2022Updated 3 years ago
- ☆18Oct 15, 2021Updated 4 years ago
- Deep Spiking Reinforcement Learning☆25Oct 28, 2023Updated 2 years ago
- Code for training binary and WTA SNNs☆17Mar 25, 2022Updated 3 years ago
- ☆17Dec 18, 2020Updated 5 years ago
- In this repo, Spiking recurrent neural network is applied on various task for ICONs2020☆30Dec 17, 2020Updated 5 years ago
- ☆15Dec 2, 2021Updated 4 years ago
- Spatio-temporal BP for SNNs☆237May 17, 2022Updated 3 years ago
- Optimizing threshold and leak in LIF neurons with end-to-end backpropagation☆21Sep 10, 2021Updated 4 years ago
- Feedforward multilayer spiking neural network with SRM0 model. Gaussian receptive field has been used for information encoding☆10Feb 4, 2018Updated 8 years ago
- ☆39Jan 26, 2022Updated 4 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11May 5, 2022Updated 3 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆12Nov 20, 2020Updated 5 years ago
- VT-SNN☆27Mar 14, 2023Updated 2 years ago
- PyTorch based toolkit for developing spiking neural networks (SNNs) by training and testing them on speech command recognition tasks☆30May 3, 2024Updated last year
- ☆10Aug 17, 2022Updated 3 years ago
- This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.☆11Apr 12, 2023Updated 2 years ago
- This repo is for our EMNLP2023 short paper (Findings): InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Langua…☆13Jan 11, 2024Updated 2 years ago
- Code implementing a neuromorphic, spiking backpropagation algorithm on Intel's neuromorphic research processor, codenamed Loihi☆14Nov 14, 2024Updated last year
- ☆11Nov 28, 2022Updated 3 years ago
- ☆17Oct 12, 2023Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆73Apr 16, 2024Updated last year
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Apr 7, 2021Updated 4 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- ☆14Jun 26, 2019Updated 6 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆13Aug 27, 2021Updated 4 years ago
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Feb 11, 2023Updated 3 years ago
- Supervised Spiking Network☆83Jun 25, 2022Updated 3 years ago
- ☆31Oct 27, 2023Updated 2 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 2 years ago
- Reservoir computing framework for Loihi☆14Sep 23, 2022Updated 3 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆34Oct 28, 2020Updated 5 years ago
- Neurons learn by predicting future activity☆30Nov 4, 2021Updated 4 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆58Feb 18, 2022Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Jun 4, 2024Updated last year