Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
#计算机科学#A library for neuroscience-inspired navigation and decision making research.
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Adversarial attacks on Deep Reinforcement Learning (RL)
Reinforcement Learning for Practitioners.
OpenAI gym environments for training RL Agents on @OpenBB-finance Data
#区块链#A trading bitcoin agent was created with deep reinforcement learning implementations.
Master's thesis about Reinforcement Learning (RL), Deep RL and Optimization for Product Delivery
Exploring Reinforcement Learning Solutions to the Vehicle Routing Problem. PPO, A2C, DQN, SAC
💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
#计算机科学#Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios
One-click setup for OpenAI Gym Retro on FloydHub
#计算机科学#Implementation of DQN and DDQN algorithms for Playing Car Racing Game
🏔️🚗 Welcome to RLMountainHub! Our repository is dedicated to conquering the Mountain Car problem using advanced reinforcement learning techniques. 🧠🚀
Course work of Reinforcement-Learning-CS6700
In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain
#计算机科学#Developed and implemented a Reinforcement Learning Deep Q-Network (RL-DQN) that learned to play Pac-Man from its experience using a Convolutional Neural Network (CNN) trained on screen images as input...
CartPole environment using Stable BaseLines library