saketrohit24's Stars
kozoB/TicTacToeRL
Tic Tac Toe game agent based on DQN algorithm. Allows playing as agent vs agent or player vs agent
blakeyy/neuromorphic_dreaming
This code presents an implementation of model-based reinforcement learning using spiking neural networks on the DYNAP-SE neuromorphic processor, validated by efficiently training an agent to play Atari Pong using limited interactions with the environment.
cristianocapone/biodreaming
tartavull/snn-rl
Reinforcement Learning for Spiking Neural Networks
Mohamed-Abdelrazek1112/Reinforcement-Learning-on-Spiking-Neural-Networks
Using Spiking Neural Networks on Spinnaker to play Atari games.
gianfa/research-snn-vs-ann-in-rl
Machine learning experiments with SNN
tortolla/SNN_new_moves
AnitaSoroush/LearningProcess
A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain
realamirhe/tsnn
Probably the world most FC implementation of transformers with SNNs
SpikeyCNS/spikey
Malleable spiking neural network framework and training platform.
iCAS-Lab/CSCE790_neuromorphic_computing
This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.
vhris/Deep-Spiking-Q-Networks
Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the OpenAIGym environments CartPole, MountainCar, and BreakOut. Accompanies the thesis "Deep Spiking Q Networks" submitted at the Technical University of Munich in January 2020.
sizzflair97/snntorch-rl
tiyunes/snn_rl
AptX395/Deep-Spiking-Q-Networks
The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.
mahmoudakl/Deep-Spiking-Q-Networks
Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the OpenAIGym environments CartPole, MountainCar, and BreakOut. Accompanies the thesis "Deep Spiking Q Networks" submitted at the Technical University of Munich in January 2020.
mahmoudakl/dsrl
Deep Spiking Reinforcement Learning
combra-lab/snn-eeg
PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
combra-lab/pop-spiking-deep-rl
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
intel-nrc-ecosystem/models
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
wponghiran/lsm-rl
Codes for Reinforcement Learning with Low-Complexity Liquid State Machines
tbekolay/bandit-task
Bandit task for Nengo 1.4
Sripal1/Nengo_MountainCar
Nengo and NEF implementation of OpenAI gym's mountain car
ctn-waterloo/Reinforcement-learning-in-continuous-time-with-Legendre-Memory-Units
Reinforcement learning in continuous time with Legendre Memory Units and the nengo package for modelling spiking neural networks
beepmo/nengoPlayground
iraikov/nengo_maze_env
GaneshVShinde/Nengo_RL_GYM
pblouw/nengo_rl
RL Tutorial in Nengo
tcstewar/nengo_learning_examples
Examples of learning models in nengo
sudhakaranjain/spellbond
Learning to play Wordle using Actor-Critic RL Algorithm - implementing RL from scratch