ghostFaceKillah / deep-rl-berkeleyLinks
[2017] Solving homeworks for Berekeley Deep Reinforcement Learning Course
☆33Updated 8 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
Sorting:
- 📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction☆84Updated 3 months ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 8 years ago
- Assignments for Berkeley CS 294: Deep Reinforcement Learning (Fall 2017)☆42Updated 8 years ago
- Cool Inverse Reinforcement Learning Papers☆124Updated 9 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning☆142Updated 8 years ago
- random search, hill climbing, policy gradient☆145Updated 7 years ago
- Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…☆277Updated 6 years ago
- Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆152Updated 2 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆215Updated 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…☆53Updated 5 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 8 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆193Updated 7 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Updated 7 years ago
- Combining deep learning and reinforcement learning.☆81Updated 4 years ago
- Reinforcement Learning with Goals☆169Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆174Updated 9 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 6 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 3 years ago
- Collection of Deep Reinforcement Learning algorithms☆300Updated 6 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆276Updated 7 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 6 years ago
- ☆24Updated 10 years ago
- My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework☆36Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.☆66Updated 7 years ago
- Tensorflow example of a conv GAN on MNIST.☆98Updated 7 years ago
- tutorial notebooks☆392Updated 7 years ago