rlpy / rlpy
RLPy Reinforcement Learning Framework
☆252Updated 5 years ago
Alternatives and similar repositories for rlpy:
Users that are interested in rlpy are comparing it to the libraries listed below
- DEEp Reinforcement learning framework☆484Updated 10 months ago
- Implementations of deep RL papers and random experimentation☆177Updated 6 years ago
- Some Reinforcement Learning in Python☆117Updated 7 years ago
- Persistent advantage learning dueling double DQN for the Arcade Learning Environment☆264Updated 7 years ago
- A Python Interface for the Arcade Learning Environment (Shared Object)☆126Updated 4 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Updated 6 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆404Updated 8 years ago
- Implementation of TRPO and related algorithms☆626Updated 6 years ago
- Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"☆290Updated 8 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆212Updated 7 years ago
- ☆117Updated 4 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆75Updated 8 years ago
- ☆97Updated 8 years ago
- ☆100Updated 8 years ago
- Implementation of Meta-RL A3C algorithm☆402Updated 8 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆342Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning☆437Updated 6 years ago
- An implementation of Deep Q-Network using Caffe☆70Updated 9 years ago
- Value Iteration Networks☆289Updated 7 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- Basic DQN implementation☆221Updated 7 years ago
- Deep Reinforcement Learning library for humans☆300Updated 7 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- ☆159Updated 7 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆168Updated 8 years ago
- Collection of Deep Reinforcement Learning algorithms☆300Updated 6 years ago
- Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning☆206Updated 7 years ago
- Neural network model, suitable for multi-agent learning. https://arxiv.org/abs/1605.07736☆213Updated 8 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …☆85Updated 9 years ago