MOCR / DDPG
reimplementation of the ddpg algorithm using tensorflow
☆38Updated 8 years ago
Alternatives and similar repositories for DDPG:
Users that are interested in DDPG are comparing it to the libraries listed below
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆21Updated 8 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 8 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- Collaborative Deep Reinforcement Learning☆32Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- ☆159Updated 7 years ago
- ☆78Updated 6 years ago
- Train an RL agent to play multiple Atari games at once☆70Updated 8 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 6 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆23Updated 8 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 7 years ago
- ☆97Updated 8 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- Noisy Networks for Exploration☆185Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆120Updated 8 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 7 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Updated 7 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆42Updated 10 years ago
- Tensorflow implementation of DeepMind paper - "Learning to Navigate in Complex Environments"☆63Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago