doandongnguyen / autoscalingLinks
Fuzzy Deep Reinforcement Learning for autoscaling on clouds
☆9Updated 4 years ago
Alternatives and similar repositories for autoscaling
Users that are interested in autoscaling are comparing it to the libraries listed below
Sorting:
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆16Updated 6 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago
- Trading Robot based on LSTM-PPO☆26Updated 5 years ago
- A Python implementation of Fuzzy Q-Learning (FQL) for any controllers with continues states☆39Updated last year
- Experiments with transformer based RL algorithms☆22Updated 5 years ago
- qmix☆22Updated 5 years ago
- Deep Reinforcement Learning for Nash Equilibria☆42Updated 2 years ago
- research and implementations of Deep RL agents and their applications☆51Updated last week
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆28Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- FEN Code☆38Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆13Updated last year
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆10Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆85Updated 7 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression☆28Updated 4 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- reproduce some RL or Multi-Agent models☆35Updated 6 years ago
- Hierarchical Attention in Reinforcement Learning for Stock Order Executions☆30Updated 4 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 3 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- Improving upon state of the art cooperative deep reinforcement learning in StarCraft II☆13Updated 6 years ago