Name	Name	Last commit message	Last commit date
Latest commit History 161 Commits
DLPT/data	DLPT/data
animations	animations
misc	misc
racetrack_param_sweeps	racetrack_param_sweeps
.gitignore	.gitignore
000 - Stopwatch.ipynb	000 - Stopwatch.ipynb
000 - The Plan.ipynb	000 - The Plan.ipynb
001.1 - Introduction.ipynb	001.1 - Introduction.ipynb
001.2 - Multi-armed Bandits.ipynb	001.2 - Multi-armed Bandits.ipynb
001.3 - Debrief.ipynb	001.3 - Debrief.ipynb
002.1 - Multi-armed Bandits.ipynb	002.1 - Multi-armed Bandits.ipynb
002.2 - Debrief.ipynb	002.2 - Debrief.ipynb
003.1 - Multi-armed Bandits.ipynb	003.1 - Multi-armed Bandits.ipynb
003.2 - Debrief.ipynb	003.2 - Debrief.ipynb
004.1 - Finite Markov Decision Processes.ipynb	004.1 - Finite Markov Decision Processes.ipynb
004.2 - Debrief.ipynb	004.2 - Debrief.ipynb
005.1 - Dynamic Programming.ipynb	005.1 - Dynamic Programming.ipynb
005.2 - Debrief.ipynb	005.2 - Debrief.ipynb
006.1 - Dynamic Programming.ipynb	006.1 - Dynamic Programming.ipynb
006.2 - Debrief.ipynb	006.2 - Debrief.ipynb
007.1 - Dynamic Programming.ipynb	007.1 - Dynamic Programming.ipynb
007.2 - Monte Carlo Methods.ipynb	007.2 - Monte Carlo Methods.ipynb
007.3 - Debrief.ipynb	007.3 - Debrief.ipynb
008.1 - Monte Carlo Methods.ipynb	008.1 - Monte Carlo Methods.ipynb
008.2 - Debrief.ipynb	008.2 - Debrief.ipynb
009.1 - Monte Carlo Methods.ipynb	009.1 - Monte Carlo Methods.ipynb
009.2 - Debrief.ipynb	009.2 - Debrief.ipynb
010.1 - Temporal-Difference Learning.ipynb	010.1 - Temporal-Difference Learning.ipynb
010.2 - Debrief.ipynb	010.2 - Debrief.ipynb
011.1 - Temporal-Difference Learning.ipynb	011.1 - Temporal-Difference Learning.ipynb
011.2 - n-step Bootstrapping.ipynb	011.2 - n-step Bootstrapping.ipynb
011.3 - Debrief.ipynb	011.3 - Debrief.ipynb
012.1 - n-step Bootstrapping.ipynb	012.1 - n-step Bootstrapping.ipynb
012.2 - Debrief.ipynb	012.2 - Debrief.ipynb
013.1 - n-step Bootstrapping.ipynb	013.1 - n-step Bootstrapping.ipynb
013.2 - Planning and Learning with Tabular Methods.ipynb	013.2 - Planning and Learning with Tabular Methods.ipynb
013.3 - Introducing deep learning and the PyTorch Library.ipynb	013.3 - Introducing deep learning and the PyTorch Library.ipynb
013.4 - Pretrained Networks.ipynb	013.4 - Pretrained Networks.ipynb
013.5 - Debrief.ipynb	013.5 - Debrief.ipynb
014.1 - Pretrained Networks.ipynb	014.1 - Pretrained Networks.ipynb
014.2 - Planning and Learning with Tabular Methods.ipynb	014.2 - Planning and Learning with Tabular Methods.ipynb
014.3 - Debrief.ipynb	014.3 - Debrief.ipynb
015.1 - It starts with a tensor.ipynb	015.1 - It starts with a tensor.ipynb
015.2 - Debrief.ipynb	015.2 - Debrief.ipynb
016.1 - It starts with a tensor.ipynb	016.1 - It starts with a tensor.ipynb
016.2 - Debrief.ipynb	016.2 - Debrief.ipynb
017.1 - It starts with a tensor.ipynb	017.1 - It starts with a tensor.ipynb
017.2 - Planning and Learning with Tabular Methods.ipynb	017.2 - Planning and Learning with Tabular Methods.ipynb
017.3 - Debrief.ipynb	017.3 - Debrief.ipynb
018.1 - It starts with a tensor.ipynb	018.1 - It starts with a tensor.ipynb
018.2 - Debrief.ipynb	018.2 - Debrief.ipynb
019.1 - Real-world data representation using tensors.ipynb	019.1 - Real-world data representation using tensors.ipynb
019.2 - Planning and Learning with Tabular Methods.ipynb	019.2 - Planning and Learning with Tabular Methods.ipynb
019.3 - Debrief.ipynb	019.3 - Debrief.ipynb
020.1 - Real-world data representation using tensors.ipynb	020.1 - Real-world data representation using tensors.ipynb
020.2 - Debrief.ipynb	020.2 - Debrief.ipynb
021.1 - Planning and Learning with Tabular Methods.ipynb	021.1 - Planning and Learning with Tabular Methods.ipynb
021.2 - Debrief.ipynb	021.2 - Debrief.ipynb
022.1 - Real-world data representation using tensors.ipynb	022.1 - Real-world data representation using tensors.ipynb
022.2 - The mechanics of learning.ipynb	022.2 - The mechanics of learning.ipynb
022.3 - Debrief.ipynb	022.3 - Debrief.ipynb
023.1 - Planning and Learning with Tabular Methods.ipynb	023.1 - Planning and Learning with Tabular Methods.ipynb
023.2 - Debrief.ipynb	023.2 - Debrief.ipynb
024.1 - Using a neural network to fit the data.ipynb	024.1 - Using a neural network to fit the data.ipynb
024.2 - Telling birds from airplanes: Learning from images.ipynb	024.2 - Telling birds from airplanes: Learning from images.ipynb
024.3 - Debrief.ipynb	024.3 - Debrief.ipynb
025.1 - Telling birds from airplanes: Learning from images.ipynb	025.1 - Telling birds from airplanes: Learning from images.ipynb
025.2 - Using convolutions to generalize.ipynb	025.2 - Using convolutions to generalize.ipynb
025.3 - Debrief.ipynb	025.3 - Debrief.ipynb
026.1 - Introducing generative models.ipynb	026.1 - Introducing generative models.ipynb
026.2 - Debrief.ipynb	026.2 - Debrief.ipynb
027.1 - Introducing generative models.ipynb	027.1 - Introducing generative models.ipynb
027.2 - OpenAI Gym API and Gymnasium.ipynb	027.2 - OpenAI Gym API and Gymnasium.ipynb
027.3 - Deep Learning with PyTorch.ipynb	027.3 - Deep Learning with PyTorch.ipynb
027.4 - Debrief.ipynb	027.4 - Debrief.ipynb
028.1 - The Cross-Entropy Method.ipynb	028.1 - The Cross-Entropy Method.ipynb
028.2 - DQN.ipynb	028.2 - DQN.ipynb
028.3 - REINFORCE.ipynb	028.3 - REINFORCE.ipynb
028.4 - Debrief.ipynb	028.4 - Debrief.ipynb
029.1 - REINFORCE.ipynb	029.1 - REINFORCE.ipynb
029.2 - A2C.ipynb	029.2 - A2C.ipynb
029.3 - PPO.ipynb	029.3 - PPO.ipynb
029.4 - Debrief.ipynb	029.4 - Debrief.ipynb
032.1 - Debrief.ipynb	032.1 - Debrief.ipynb
033.999 - Debrief.ipynb	033.999 - Debrief.ipynb
034.1 - RNNs from Scratch.ipynb	034.1 - RNNs from Scratch.ipynb
999 - Playground.ipynb	999 - Playground.ipynb
999 - Study Plan.ipynb	999 - Study Plan.ipynb
Deep Research Plan.ipynb	Deep Research Plan.ipynb
PPO.ipynb	PPO.ipynb
README.md	README.md
agents.py	agents.py
bandits.py	bandits.py
environments.py	environments.py
episode_heatmap.gif	episode_heatmap.gif
gamblers_problem.py	gamblers_problem.py
journey.jupyterlab-workspace	journey.jupyterlab-workspace
multiproc_utils.py	multiproc_utils.py
policy_evaluation.py	policy_evaluation.py
policy_improvement.py	policy_improvement.py

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161 Commits

DLPT/data

animations

misc

racetrack_param_sweeps

.gitignore

000 - Stopwatch.ipynb

000 - The Plan.ipynb

001.1 - Introduction.ipynb