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
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆174Updated 7 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 3 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆180Updated 7 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
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- ICML 2018 Self-Imitation Learning☆274Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- NIPS 2017 Value Prediction Network☆165Updated 7 years ago
- A customizable framework to create maze and gridworld environments☆260Updated 5 years ago
- Random Network Distillation pytorch☆243Updated 5 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated 10 months ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆177Updated 2 months ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆81Updated 3 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- ☆28Updated 5 years ago
- impact-driven-exploration☆130Updated last year
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆197Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆199Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆288Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago