flyyufelix / Direct-Future-Prediction-KerasLinks
Direct Future Prediction (DFP ) in Keras
☆109Updated 7 years ago
Alternatives and similar repositories for Direct-Future-Prediction-Keras
Users that are interested in Direct-Future-Prediction-Keras are comparing it to the libraries listed below
Sorting:
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- Tensorflow implementation of A3C algorithm☆46Updated 7 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Deepmind Recurrent Environment Simulators paper implementation in tensorflow☆74Updated 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 …☆84Updated 9 years ago
- ☆159Updated 7 years ago
- Keras implementation of DQN on ViZDoom environment☆54Updated 8 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 9 months ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆42Updated 7 years ago
- Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications☆61Updated 7 years ago
- ☆117Updated 4 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- World Models applied to the Open AI Sonic Retro Contest☆77Updated 6 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆29Updated 7 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"☆114Updated 9 years ago
- Reinforcement learning models in ViZDoom environment☆131Updated 3 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago