정재우's repositories
Mid-Term-Project
Config files for my GitHub profile.
gym_multiball_in_order
gymnasium multiball in order
TransDreamer
Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
ml-agents-unity
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
crafter
Benchmarking the Spectrum of Agent Capabilities
notion_page
자기소개 포트폴리오 사이트
bert
TensorFlow code and pre-trained models for BERT
BERT-pytorch
Google AI 2018 BERT pytorch implementation
SimpleDreamer
A Simplified Pytorch Version of the Dreamer Algorithm
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
minigrid-a2c-ppo-dqn
linux_dqn_a2c
WorldModelsExperiments
World Models Experiments
Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
dreamer-pytorch
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
reference_rl
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
dreamer
Dream to Control: Learning Behaviors by Latent Imagination
dqn-pytorch
DQN to play Atari Pong
pytorch-DQN
Using pytorch to implement DQN / DDQN / Atari DDQN