mldsta / mlds-2018-hw4Links
☆20Updated 7 years ago
Alternatives and similar repositories for mlds-2018-hw4
Users that are interested in mlds-2018-hw4 are comparing it to the libraries listed below
Sorting:
- Some notes and experience about David Silver's Reinforcement Learning Course☆47Updated 6 years ago
- homework for CS294 Fall 2017☆167Updated 7 years ago
- homework for CS234 2017☆150Updated 7 years ago
- Assignments for CS294-112 Fall2018 in Pytorch☆63Updated 7 years ago
- Chinese Translation for Book 《Reinforcement Learning- An Introduction》-Second Edition☆126Updated 6 years ago
- RL library based on algorithms from the book <A-introduction-to-reinforcement-learning>☆90Updated 7 years ago
- Collection of Deep Reinforcement Learning algorithms☆124Updated 8 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆257Updated 5 years ago
- Imitation Learning Homework 1☆36Updated 8 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆267Updated 8 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- A toy example of Policy Gradient implemented in Pytorch☆95Updated 7 years ago
- Implementation of Machine Learning Algorithms☆408Updated 6 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆422Updated 8 years ago
- ☆108Updated 4 years ago
- Reinforcement Learning in Python☆108Updated 5 years ago
- Pytorch implementation of Pointer Network☆338Updated 6 years ago
- A pack of reinforcement learning algorithms.☆84Updated 4 years ago
- Some basic examples of playing with RL☆1,261Updated 11 months ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆93Updated 6 years ago
- Python Implementations of Monte Carlo Tree Search☆317Updated 4 years ago
- ☆316Updated 3 years ago
- The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.☆92Updated 4 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆107Updated 3 years ago
- cuda/pytorch/openai/fake screen setup tutorial☆62Updated 7 years ago
- Machine Learning and having it Deep and Structured (MLDS) in 2018 spring☆146Updated 6 years ago
- Virtual-Taobao simulators with OpenAI Gym interface☆530Updated 6 years ago
- Deep Reinforcement Learning with pytorch & visdom☆803Updated 5 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆191Updated 6 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆141Updated 8 years ago