zyxue / sutton-barto-rl-exercisesLinks
πLearning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
β84Updated last month
Alternatives and similar repositories for sutton-barto-rl-exercises
Users that are interested in sutton-barto-rl-exercises are comparing it to the libraries listed below
Sorting:
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.β152Updated 2 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 uβ¦β53Updated 5 years ago
- Reinforcement Learning in Keras on VizDoomβ142Updated 8 years ago
- Collection of Deep Reinforcement Learning algorithmsβ300Updated 6 years ago
- Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooksβ330Updated 5 years ago
- random search, hill climbing, policy gradientβ145Updated 7 years ago
- Implementation of Meta-RL A3C algorithmβ405Updated 8 years ago
- Bandits Environments for the OpenAI Gymβ89Updated 5 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blogβ623Updated 2 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlowβ138Updated last year
- Deep learning and Reinforcement learning lecture and course workβ100Updated 7 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]β107Updated 3 years ago
- Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learningβ141Updated 8 years ago
- Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferenβ¦β277Updated 5 years ago
- [2017] Solving homeworks for Berekeley Deep Reinforcement Learning Courseβ33Updated 8 years ago
- This will contain my notes for research papers that I read.β623Updated 6 years ago
- Cool Inverse Reinforcement Learning Papersβ124Updated 8 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Kerasβ160Updated 5 years ago
- Reinforcement Learning Cheat Sheetβ157Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gymβ360Updated 5 years ago
- β141Updated 7 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envirβ¦β277Updated 7 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement leβ¦β218Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"β331Updated 4 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gymβ308Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlowβ182Updated 6 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym gamesβ112Updated 7 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.β101Updated 5 years ago
- A reinforcement learning frameworkβ157Updated 6 years ago
- For educational materials related to the spinning up workshops.β205Updated 6 years ago