manantomar / Reinforcement-Learning
Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
☆7Updated 7 years ago
Alternatives and similar repositories for Reinforcement-Learning
Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Multi-objective reinforcement learning for covid-19 control☆11Updated 3 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆10Updated 4 years ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆17Updated 2 years ago
- This repo contains the implementation of deep reinforcement learning (DRL) algorithms for virtual machine rescheduling in data centers.☆10Updated 2 years ago
- Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation☆49Updated 5 years ago
- FEN Code☆37Updated 5 years ago
- An implementation for CVRP problem with A3C+Attention mechanism and GCN☆17Updated 5 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3…☆14Updated 3 years ago
- Multiagent deep reinforcement learning research project☆28Updated 11 months ago
- This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…☆10Updated 3 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- ☆11Updated 5 years ago
- OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops☆13Updated 4 years ago
- ☆15Updated 5 years ago
- Python Q learning implementations and application examples in wireless networks☆18Updated 8 years ago
- A multi-agent version of the Double DQN algorithm, with Foraging Task and Pursuit Game test scenarios☆12Updated 8 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- ☆20Updated 5 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆11Updated 5 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆15Updated 3 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 7 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆32Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆31Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- Modular Multi-Objective Reinforcement Learning with Decision Values☆24Updated 2 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Updated 7 years ago