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Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Population-Based Training (PBT) for Reinforcement Learning using Message Passing Interface (MPI)
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
[ECC 2022] Codebase for the paper titled "Learning Eco-Driving Strategies at Signalized Intersections".
♟️ Deploy a AI five-in-a-row game. Including front-end, back-end & deep RL code. 基于 vue3 与 flask 部署的强化学习五子棋 AlphaGo 实践。
My implementation of Hindsight replay in PyTorch: "Hindsight Experience Replay"
Q-learning project where an agent learns by himself to find the exit inside a maze. The project is implemented as a level-based game.
JS smart crawler using reinforcement learning
Code for <Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents>
Reinforcement learning with pytorch
(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
Neural Architecture Search for Convolutional Neural Networks using Reinforcement Learning
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
Implementation of Advantage-Actor-Critic for gym environments
Code for Prediction and Planning Under Uncertainty (PPUU) in an Autonomous Ferry Navigation setting
High-fidelity cartpole environment for reinforcement learning
Multiple Generation Based Knowledge Distillation: A Roadmap
This repo contains learnings about Artificial Intelligence and Machine Learning using Python Jupyter Notebooks downloaded as HTML
During my Course of Ai in kiet. I was learing reinforce learning algorithm. I have implemented Q-Learnning on Frozen Lake. Great game/ also make ppt for describe code
Deep Reinforcement Learning Tutorial Site for PLDI 2019
Pytorch C++ implement simple RL algorithm on Atari
DQN agent with e-greedy / softmax policy, experience replay and target network.
"Towards Optimized Traffic Light Systems using Multi-Agent Reinforcement Learning" paper code. Group project as part of my Erasmus Exchange at Aalborg Universitet, Denmark.
These are 3 Assignments I did during taking the course Reinforcement Learning
Code for the ICML 2024 paper 'GFlowNet Training by Policy Gradients'
Master thesis on finding optimal path for infinite horizon problem
A Project on Reinforcement Learning for UAV Applications in IoT
A novel approach to solve Contextual Reinforcement Learning
An easy way to enhance DeepRacer model training using DRfC functionalities through Jupyter Notebooks. Reproducing some core functionalities provided by AWS SageMaker Notebook