BruinBear / Asynchronous-Advantage-Actor-Critic
Implementation of A3C Algorithm on Atari Games
☆6Updated 8 years ago
Alternatives and similar repositories for Asynchronous-Advantage-Actor-Critic:
Users that are interested in Asynchronous-Advantage-Actor-Critic are comparing it to the libraries listed below
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- ☆35Updated 6 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- Reinforcement learning models in ViZDoom environment☆133Updated 3 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 6 years ago
- third person imitation learning. Archival only.☆76Updated 5 years ago
- The Winning Solution for the Learning To Run Challenge 2017☆61Updated 6 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- Helpful files for Visual Doom AI Competition 2017☆44Updated 6 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 8 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Proximal Policy Optimization in PyTorch☆39Updated 7 years ago
- Some baselines for Pommerman competition☆46Updated 6 years ago
- [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation☆53Updated 5 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 7 months ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Deep reinforcement learning in ViZDoom (using Tensorflow)☆19Updated 7 years ago
- Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks☆41Updated 5 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago