Kelym / DeepRL-UCB2017-HomeworkLinks
My solutions to the UC Berkeley Deep Reinforcement Learning course offered in 2017 Fall, taught by Sergey Levine. Course URL: rll.berkeley.edu/deeprlcourse/
☆13Updated 7 years ago
Alternatives and similar repositories for DeepRL-UCB2017-Homework
Users that are interested in DeepRL-UCB2017-Homework are comparing it to the libraries listed below
Sorting:
- ☆69Updated 7 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…☆51Updated 5 years ago
- ☆24Updated 9 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 2 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 8 years ago
- ☆56Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 8 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- Combining deep learning and reinforcement learning.☆81Updated 3 years ago
- ☆25Updated 8 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆141Updated 8 years ago
- ☆62Updated 8 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 4 years ago
- Easy TensorFlow logging for quick prototypes☆110Updated 3 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- Some hard problems for reinforcement learning.☆32Updated 7 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 8 years ago
- Experiments with differentiable stacks and queues in PyTorch☆144Updated 6 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 6 years ago
- Models built with TensorFlow☆26Updated 6 years ago
- ☆17Updated 8 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 8 years ago