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
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆74Updated 3 years ago
- Deep Spiking Reinforcement Learning☆23Updated last year
- TransMix: Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning☆10Updated 2 years ago
- N-Layered FeUdal Networks based on FeUdal Networks adapted to suit PySC2 observations☆18Updated 6 years ago
- Official PyTorch code for "Sample Efficient Offline-to-Online Reinforcement Learning" in TKDE'23.☆14Updated 2 years ago
- Pytorch implementation of AREL☆15Updated 3 years ago
- ☆11Updated 9 months ago
- Code for AAAI-25 accepted paper: Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.☆19Updated 3 months ago
- Posted at AAAI 2023☆11Updated 2 weeks ago
- Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"☆11Updated last year
- Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay☆32Updated last year
- Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting☆19Updated 7 months ago
- ☆28Updated 4 years ago
- ☆12Updated 4 years ago
- RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms☆26Updated 2 years ago
- Implementation of spiking DQN training using different conversion techniques and backpropagation with surrogate gradients employed on the…☆11Updated 2 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆45Updated 3 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Updated 2 years ago
- ☆27Updated 4 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
- code of IJCAI submission "Soft Hindsight Experience Replay"☆12Updated 5 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
- Reinforcement learning with a network of spiking agents☆21Updated 5 years ago
- ☆28Updated 2 years ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆125Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago