aitorzip / deepbootcamp
Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
☆42Updated 7 years ago
Alternatives and similar repositories for deepbootcamp:
Users that are interested in deepbootcamp are comparing it to the libraries listed below
- ☆24Updated 9 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 6 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated last year
- ☆68Updated 6 years ago
- Train an RL agent to play multiple Atari games at once☆70Updated 8 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Some hard problems for reinforcement learning.☆32Updated 6 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 5 months ago
- A parallel version of Trust Region Policy Optimization☆65Updated 7 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
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 7 years ago
- ☆22Updated 6 years ago
- [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.☆73Updated 6 years ago
- [2017] Solving homeworks for Berekeley Deep Reinforcement Learning Course☆33Updated 7 years ago
- random search, hill climbing, policy gradient☆140Updated 6 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆23Updated 8 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆142Updated 2 years ago
- ☆100Updated 8 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆42Updated 10 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆54Updated 6 years ago
- Assignments for Berkeley CS 294: Deep Reinforcement Learning (Fall 2017)☆42Updated 7 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- Reading Group on Reinforcement Learning topics☆55Updated 8 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆29Updated 6 years ago