kyungjaelee

Assistant Professor at Korea University

Seoul

Pinned Repositories

Bayesian-Optimization-under-Heavy-tailed-Payoffs
Codes accompanying NeurIPS, 2019 paper
Language:MATLAB0 1 00
DQN
Language:Jupyter Notebook3 2 00
imitation-learning-with-Gaussian-processes
Language:Jupyter Notebook4 4 02
imitation_learning_practice
Language:Jupyter Notebook10
opt_perturbation
Language:Jupyter Notebook1 2 00
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Language:Jupyter Notebook10
rl_course
Language:Jupyter Notebook0 2 05
rrt_python_pratice
Language:Jupyter Notebook3 2 00
sparse_deep_q_learning
Sparse Deep Q Learning
Language:Jupyter Notebook1 2 00
TrackDrive_GAIL
Language:MATLAB5 2 01

kyungjaelee's Repositories

kyungjaelee/TrackDrive_GAIL
Language:MATLAB5 2 01
kyungjaelee/imitation-learning-with-Gaussian-processes
Language:Jupyter Notebook4 4 02
kyungjaelee/DQN
Language:Jupyter Notebook3 2 00
kyungjaelee/rrt_python_pratice
Language:Jupyter Notebook3 2 00
kyungjaelee/imitation_learning_practice
Language:Jupyter Notebook10
kyungjaelee/opt_perturbation
Language:Jupyter Notebook1 2 00
kyungjaelee/sparse_deep_q_learning
Sparse Deep Q Learning
Language:Jupyter Notebook1 2 00
kyungjaelee/Bayesian-Optimization-under-Heavy-tailed-Payoffs
Codes accompanying NeurIPS, 2019 paper
Language:MATLAB0 1 00
kyungjaelee/choicenet_imitation
Language:Jupyter Notebook0 2 00
kyungjaelee/contextualbandits
Python implementations of contextual bandits algorithms
Language:Python0 1 00
kyungjaelee/rl_course
Language:Jupyter Notebook0 2 05
kyungjaelee/currency_prediction_with_auto_regressive_model
Language:Jupyter Notebook
kyungjaelee/customized_open_ai_baselines
Language:Jupyter Notebook3 02
kyungjaelee/DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
kyungjaelee/dmpl_experiments
Objectworld Experiments
Language:Matlab2 0
kyungjaelee/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Language:Jupyter Notebook
kyungjaelee/drift_drl
High-speed Autonomous Drifting with Deep Reinforcement Learning
Language:Python1 0
kyungjaelee/gail-driver
Language:Python
kyungjaelee/grasp_adaptation
Language:Jupyter Notebook1
kyungjaelee/imitation
Language:Python2 0
kyungjaelee/IOCfND
Language:Jupyter Notebook2 0
kyungjaelee/machine_learning_packages
Language:Jupyter Notebook2 0
kyungjaelee/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
2 0
kyungjaelee/MCTEIL
Maximum Causal Tsallis Entropy Imitation Learning
Language:Jupyter Notebook2 0
kyungjaelee/MCTEIL_theano
Language:Python
kyungjaelee/mujoco_moveit_connector
Language:CMake
kyungjaelee/proof_linear_bandit
Language:Jupyter Notebook2 0
kyungjaelee/robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Language:Jupyter Notebook
kyungjaelee/softqlearning
Reinforcement Learning with Deep Energy-Based Policies
Language:Python
kyungjaelee/vdrift
VDrift source code
Language:C++1 0