AptX395 / Deep-Spiking-Q-NetworksLinks
The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.
☆13Updated 2 years ago
Alternatives and similar repositories for Deep-Spiking-Q-Networks
Users that are interested in Deep-Spiking-Q-Networks are comparing it to the libraries listed below
Sorting:
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆59Updated 3 years ago
 - Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆20Updated 3 years ago
 - Deep Spiking Reinforcement Learning☆23Updated 2 years ago
 - Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆74Updated 4 years ago
 - Pytorch implementation of AREL☆15Updated 3 years ago
 - N-Layered FeUdal Networks based on FeUdal Networks adapted to suit PySC2 observations☆18Updated 6 years ago
 - Posted at AAAI 2023☆11Updated 2 months ago
 - Official PyTorch code for "Sample Efficient Offline-to-Online Reinforcement Learning" in TKDE'23.☆15Updated 2 years ago
 - Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
 - Code for AAAI-25 accepted paper: Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.☆22Updated 5 months ago
 - ☆27Updated 5 years ago
 - Learning with Helper☆20Updated 6 years ago
 - Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
 - Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Updated 2 years ago
 - Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆30Updated 10 months ago
 - TransMix: Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning☆11Updated 3 years ago
 - ☆13Updated 3 years ago
 - The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆42Updated 3 years ago
 - Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Updated 3 years ago
 - Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
 - ☆12Updated 3 years ago
 - ☆12Updated 4 years ago
 - Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆32Updated last year
 - ☆31Updated 2 years ago
 - ☆26Updated 4 years ago
 - ☆29Updated 4 years ago
 - ☆14Updated 4 years ago
 - The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆72Updated 11 months ago
 - Resilient Multi-Agent Reinforcement Learning☆10Updated 3 years ago
 - Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago