Kelym / DeepRL-UCB2017-Homework
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:
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- ☆68Updated 6 years ago
- some common TD Learning algorithms☆67Updated 5 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆25Updated 2 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- ☆56Updated 6 years ago
- Some hard problems for reinforcement learning.☆32Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 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…☆52Updated 5 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- ☆27Updated 6 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- ☆65Updated last year
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Policy gradient reinforcement learning algorithm with importance sampling☆32Updated 7 years ago
- Assignments for Berkeley CS 294: Deep Reinforcement Learning (Fall 2017)☆42Updated 7 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Updated 7 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago