DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Deep learning and RL course
An advanced course on deep learning and reinforcement learning, covering foundational concepts and topics from introduction to machine learning based AI to policy gradients and actor critics.
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
821 stars
45 watching
272 forks
last commit: over 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
sjhwang82/advancedml | An advanced machine learning course with readings and materials on deep learning topics | 367 |
google-deepmind/spriteworld | An environment designed to test and train reinforcement learning algorithms in a flexible, procedurally generated 2D space with various objects and interactions. | 368 |
geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,690 |
google-deepmind/meltingpot | Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations | 620 |
google-deepmind/rlax | A Python library providing reinforcement learning building blocks for implementing agent policies and functions | 1,263 |
devendrachaplot/deeprl-grounding | Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. | 237 |
google-deepmind/android_env | A platform for defining reinforcement learning tasks on top of Android devices | 1,019 |
gorkemalgan/deep_learning_with_noisy_labels_literature | A collection of papers and repos on deep learning with noisy labels. | 235 |
google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
matyama/deep-rl-hands-on | A collection of examples and exercises from a deep reinforcement learning book | 2 |
vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
zuoxingdong/lagom | A modular toolkit for rapid prototyping of reinforcement learning algorithms | 373 |
aunum/gold | A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments. | 345 |
ardavans/dsr | An algorithm for deep reinforcement learning that combines model-free and model-based approaches to learn robust value functions. | 98 |