ghostFaceKillah / deep-rl-berkeley
[2017] Solving homeworks for Berekeley Deep Reinforcement Learning Course
☆33Updated 7 years ago
Alternatives and similar repositories for deep-rl-berkeley:
Users that are interested in deep-rl-berkeley are comparing it to the libraries listed below
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 7 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆140Updated 7 years ago
- 📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction☆82Updated 6 months ago
- Cool Inverse Reinforcement Learning Papers☆123Updated 8 years ago
- Assignments for Berkeley CS 294: Deep Reinforcement Learning (Fall 2017)☆42Updated 7 years ago
- random search, hill climbing, policy gradient☆140Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- 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 4 years ago
- My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework☆36Updated 6 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 6 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 7 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- Reinforcement Learning with Goals☆170Updated 5 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆142Updated 2 years ago
- ☆24Updated 9 years ago
- ☆99Updated 8 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Updated 6 years ago
- Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…☆273Updated 5 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆177Updated 2 months ago
- Our NIPS 2017: Learning to Run source code☆55Updated last year
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- Implementations of deep RL papers and random experimentation☆177Updated 6 years ago
- ☆159Updated 7 years ago
- Train an RL agent to play multiple Atari games at once☆70Updated 8 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Codes of our team for the OpenAI Retro Contest of reinforcement learning☆99Updated 6 years ago
- Reinforcement learning benchmarking.☆39Updated 6 years ago