asneha213 / spiking-agent-RLLinks
Reinforcement learning with a network of spiking agents
☆21Updated 5 years ago
Alternatives and similar repositories for spiking-agent-RL
Users that are interested in spiking-agent-RL are comparing it to the libraries listed below
Sorting:
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆19Updated 3 years ago
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆58Updated 3 years ago
- Reinforcement Learning in Spiking Neural Networks☆8Updated 7 years ago
- A python implementation of a spiking neural network with STDP and Reinforcement learning methods☆128Updated 8 years ago
- Reinforcement Learning through Active Inference☆75Updated 5 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 3 years ago
- Deep active inference agents using Monte-Carlo methods☆89Updated last month
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆24Updated 5 years ago
- Deep Spiking Reinforcement Learning☆23Updated last year
- TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement L…☆55Updated 7 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 11 months ago
- A library for deep learning with Spiking Neural Networks (SNN).☆33Updated 2 weeks ago
- What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…☆268Updated 2 years ago
- ☆26Updated 4 years ago
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Updated 2 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆228Updated 11 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆43Updated last year
- Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as…☆254Updated 4 years ago
- ☆92Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Code for spike coding networks☆15Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 4 years ago
- Tutorial for surrogate gradient learning in spiking neural networks☆325Updated 11 months ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 7 years ago
- Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434☆36Updated last month
- Deep Successor Representation☆17Updated 7 years ago
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆75Updated 3 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 6 months ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago