bszeng's Stars
Haoran-Peng/UAV-RIS_EH_DDPG
behzaad/RL_PathPlanning
Path Planning for the Robots Using Reinforcement Learning
ricupa/MTML-learn-how-to-adapt-to-unseen-tasks
rddy/deeptutor
Spaced repetition through deep reinforcement learning
ahmadnagib/SARL-RRM
A Framework for Safe and Accelerated Reinforcement Learning-based Radio Resource Management
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
WeiWang-WYS/IRSconfigurationDRL
Source code for "Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning", IEEE JSAC.
baturaysaglam/RIS-MISO-PDA-Deep-Reinforcement-Learning
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning Under the Phase-Dependent Amplitude Model
baturaysaglam/RIS-MISO-Deep-Reinforcement-Learning
Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
geyang/e-maml
E-MAML, and RL-MAML baseline implemented in Tensorflow v1
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
farismismar/Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
biplavc/UAV_DQN_AoI_multi_UAV_Age_7
Deep Q Network-based scheduling over two-hop wireless channels.
tkn-tub/ns3-gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
ahmadnagib/TL4RL
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
SamarthVarma/Reinforcement-Learning-Practice---II
Implementation of Monte Carlo Control/Sarsa Control/Q Learning/ Double Q Learning/ Sarsa Lambda/ Q-Lambda/ Dyna Q on Random Walk Environment
zhuwenxing/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Wireless based on deep learning papers' code
IntelLabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
openai/safety-starter-agents
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
haoyye/ResourceAllocationReinforcementLearning
intial version
tangyudi/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
farismismar/Q-Learning-Power-Control
Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL