├── .gitignore ├── 01-introduction-to-decision-making └── README.md ├── 02-sequential-decisions └── README.md ├── 03-deterministic-and-stochastic-actions └── README.md ├── 04-known-and-unknown-environments └── README.md ├── 05-discrete-and-continuous-states └── README.md ├── 06-discrete-and-continuous-actions └── README.md ├── 07-observable-and-partially-observable-states └── README.md ├── 08-single-and-multiple-agents └── README.md ├── 09-cooperative-and-adversarial-agents └── README.md ├── 10-decision-making-and-humans └── README.md ├── 11-conclusion └── README.md ├── 12-recommended-books └── README.md ├── 13-recommended-courses └── README.md ├── Dockerfile ├── LICENSE ├── README.md ├── notebooks ├── 02-dynamic-programming.ipynb ├── 03-planning-algorithms.ipynb ├── 04-q-learning.ipynb ├── 05-state-discretization.ipynb ├── 06-function-approximation.ipynb └── solutions │ ├── 02-dynamic-programming.ipynb │ ├── 03-planning-algorithms.ipynb │ ├── 04-q-learning.ipynb │ ├── 05-state-discretization.ipynb │ └── 06-function-approximation.ipynb └── paper ├── rldm.aux ├── rldm.out ├── rldm.pdf ├── rldm.tex └── rldmsubmit.sty /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/.gitignore -------------------------------------------------------------------------------- /01-introduction-to-decision-making/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/01-introduction-to-decision-making/README.md -------------------------------------------------------------------------------- /02-sequential-decisions/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/02-sequential-decisions/README.md -------------------------------------------------------------------------------- /03-deterministic-and-stochastic-actions/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/03-deterministic-and-stochastic-actions/README.md -------------------------------------------------------------------------------- /04-known-and-unknown-environments/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/04-known-and-unknown-environments/README.md -------------------------------------------------------------------------------- /05-discrete-and-continuous-states/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/05-discrete-and-continuous-states/README.md -------------------------------------------------------------------------------- /06-discrete-and-continuous-actions/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/06-discrete-and-continuous-actions/README.md -------------------------------------------------------------------------------- /07-observable-and-partially-observable-states/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/07-observable-and-partially-observable-states/README.md -------------------------------------------------------------------------------- /08-single-and-multiple-agents/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/08-single-and-multiple-agents/README.md -------------------------------------------------------------------------------- /09-cooperative-and-adversarial-agents/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/09-cooperative-and-adversarial-agents/README.md -------------------------------------------------------------------------------- /10-decision-making-and-humans/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/10-decision-making-and-humans/README.md -------------------------------------------------------------------------------- /11-conclusion/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/11-conclusion/README.md -------------------------------------------------------------------------------- /12-recommended-books/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/12-recommended-books/README.md -------------------------------------------------------------------------------- /13-recommended-courses/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/13-recommended-courses/README.md -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/Dockerfile -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/README.md -------------------------------------------------------------------------------- /notebooks/02-dynamic-programming.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/02-dynamic-programming.ipynb -------------------------------------------------------------------------------- /notebooks/03-planning-algorithms.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/03-planning-algorithms.ipynb -------------------------------------------------------------------------------- /notebooks/04-q-learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/04-q-learning.ipynb -------------------------------------------------------------------------------- /notebooks/05-state-discretization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/05-state-discretization.ipynb -------------------------------------------------------------------------------- /notebooks/06-function-approximation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/06-function-approximation.ipynb -------------------------------------------------------------------------------- /notebooks/solutions/02-dynamic-programming.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/solutions/02-dynamic-programming.ipynb -------------------------------------------------------------------------------- /notebooks/solutions/03-planning-algorithms.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/solutions/03-planning-algorithms.ipynb -------------------------------------------------------------------------------- /notebooks/solutions/04-q-learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/solutions/04-q-learning.ipynb -------------------------------------------------------------------------------- /notebooks/solutions/05-state-discretization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/solutions/05-state-discretization.ipynb -------------------------------------------------------------------------------- /notebooks/solutions/06-function-approximation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/notebooks/solutions/06-function-approximation.ipynb -------------------------------------------------------------------------------- /paper/rldm.aux: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/paper/rldm.aux -------------------------------------------------------------------------------- /paper/rldm.out: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/paper/rldm.out -------------------------------------------------------------------------------- /paper/rldm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/paper/rldm.pdf -------------------------------------------------------------------------------- /paper/rldm.tex: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/paper/rldm.tex -------------------------------------------------------------------------------- /paper/rldmsubmit.sty: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/mimoralea/applied-reinforcement-learning/HEAD/paper/rldmsubmit.sty --------------------------------------------------------------------------------