dd-jero/Multi-Lane-Autonomous-Driving-Based-on-Deep-Reinforcement-Learning-Considering-Obs-TrafficSig

심층강화학습기반 장애물과 신호등을 고려한 다차선 자율주행 연구

Language: ASP.NET - Size: 61.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

pacificrm/Simulating-the-Multi-Armed-Bandit

Simulating-the-Multi-Armed-Bandit with 10 arms using algorithms like Greedy, Epsilon-Greedy and UCB.

Language: Jupyter Notebook - Size: 712 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

hainn2803/Blackjack-Using-ReinforcementLearning

A mini project during 3 days of Tet Holiday 2023

Language: Python - Size: 23.4 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

addy1997/RL-Algorithms

This repository has RL algorithms implemented using python

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 2

Daksh2060/gridworld-reinforcement-learning

This project implements Value Iteration and Q-Learning algorithms to solve a variety of gridworld mazes and puzzles. It provides pre-defined policies that can be customized by adjusting parameters and policy optimization through iterative reinforcement learning. It also brings exploration capabilities to the agent with Epsilon Greedy Q-Learning.

Language: Python - Size: 935 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

OscarHuangWind/Preference-Guided-DQN-Atari

[TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving

Language: Python - Size: 292 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

alxndrTL/RL-essais-cliniques

Size: 4.07 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Anjali001/Reinforcement-Learning

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Jash-2000/Pole-Balance-Control-Algorithms

Developed various model-based and model-free Intelligent and Naive algorithms for the beam balance environment in OpenAI Gym.

Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

junthbasnet/Playing-Pong-with-Deep-Reinforcement-Learning

🏓Deep learning model is presented to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards in RL Pong environment.

Language: Python - Size: 9.36 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0