greydanus / visualize_atari
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
☆120Updated 3 years ago
Alternatives and similar repositories for visualize_atari:
Users that are interested in visualize_atari are comparing it to the libraries listed below
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆235Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆275Updated 4 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- NIPS 2017 Value Prediction Network☆165Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- ☆131Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- A customizable framework to create maze and gridworld environments☆261Updated 5 years ago
- Soft Actor-Critic☆144Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- Code for hierarchical imitation learning and reinforcement learning☆289Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 6 years ago
- ☆268Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆159Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆151Updated 7 years ago
- Multitask Environments for RL☆275Updated 3 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated 11 months ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago