| FortsAndMills/RL-Theory-book |
238 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
TeX |
| Reinforcement learning theory book about foundations of deep RL algorithms with proofs. |
| ndrplz/machine_learning_lectures |
109 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
TeX |
| Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow. |
| agentmodels/agentmodels.org |
55 |
|
0 |
0 |
over 6 years ago |
0 |
|
13 |
|
TeX |
| Modeling agents with probabilistic programs |
| popovicidaniela/Master-Thesis |
25 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
TeX |
| Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex |
| AMD-RIPS/RL-2018 |
15 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
lgpl-3.0 |
TeX |
| Reinforcement Learning at UCLA IPAM RIPS 2018 |
| linker81/Reinforcement-Learning-CheatSheet |
15 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
TeX |
| Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition) |
| makokal/MDPN |
13 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
mit |
TeX |
| Unified notation for Markov Decision Processes PO(MDP)s |
| trcook/my_reading_list |
12 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
TeX |
| A list of various articles that I find helpful for reading about deep learning, forecasting, or macroeconomics |
| alxthm/rl-cheatsheet |
11 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
TeX |
| A summary of important concepts and algorithms in RL |
| samsonq/Thesis |
11 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
TeX |
| Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging". |
