Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
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Updated
Dec 5, 2022 - Python
Robot Manipulator Path Planning using Q-Learning – 2D Grid World Case Study
Snake game with RL
The pytorch implementation of dqn
2022 K-전차 인공지능 챌린지 대회 - 환경 구축 및 강화학습 구현
Naive reproductions of 1) Q-learning, 2) Sarsa, 3) DQN / DDQN
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN
source code for AAMAS 2023 Imperfect-information Card Game Competition
Various algorithms implemented with CLI for easier training and testing purposes
Four python code files experimenting with reinforcement learning
A bunch of reinforcement learning implementations in PyTorch, will eventually include Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG) etc
PyTorch-based reinforcement learning implementation of A3C and DQN algorithms for a 2-player Catan environment
Playing Flappy Bird based on Deep Q Network (DQN) and Dueling DQN
DQN implementation using PyTorch for CartPole-v0 environment.
OpenAI Banana Game Reinforced Learning
Reinforcement Learning Project to explore State of the Art RL algorithms and compare their performance for an Agent navigating through an environment while avoiding obstacles.
In this project, an artificial agent is trained to solve the Maze task using DQN algorithm
Basic neural nets, explained and implemented
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