bongseokkim Goto Github PK

-reinforcement-learning-an-introduction

my reinforcement-learning-an-introduction`s summary/solution/code

airsim_quadrotor_pytorch

Pytorch implementation of reinforcement learning environment for Microsoft AirSim Unity quadrotor

algorithm_study

my algorithm_study repo

battery_soc_estimation

SOC (State of Charge) estimation for a battery using an ensemble approach with Coulomb counting and pre-trained LSTM prediction

benfords_law

project for checking benford`s_law

bongseokkim

bongseokkim.github.io

my portfolio

causalrl

Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

continuous_control_benchmark

Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.

cs234-reinforcement-learning-winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

dankelley.github.io

The blog is at http://dankelley.github.io

data-visualization

Data Visualization Project using Netflix Show and Movies dataset.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flooding

implementation of Do We Need Zero Training Loss After Achieving Zero Training Error?

genetic_algorithm

code for genetic_algorithm

jorldy

Repository for Open Source Reinforcement Learning Framework JORLDY

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

meta_heuristic_algo

meta_heuristic_algorithm practice

miniature-robot

SOC (State of Charge) estimation for a battery using an ensemble approach with Coulomb counting and pre-trained LSTM prediction

ml_user_pattern_analysis

2021 Dacon Cup 2th prize (user pattern analysis)

natural-language-processing

project_rl-ess-control

mini project automated ess control using reinforcement learning

project_rl_cartpole_dqn_ddqn

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

reinforcement-learning-papers

Related papers for reinforcement learning

reinforcement-learning-stanford

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

reinforcementlearningatoz

The official code repository of Fastcampus <Reinforcement Learning A-Z> (패스트 캠퍼스 강화학습 A-Z)

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-paper-study

Reinforcement Learning paper review study

rl-simsbaseline3

rl algorithms repo