uber-research / atari-model-zooLinks
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
☆202Updated 5 years ago
Alternatives and similar repositories for atari-model-zoo
Users that are interested in atari-model-zoo are comparing it to the libraries listed below
Sorting:
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆204Updated 4 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆203Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Augmented environments with RL☆104Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆121Updated 3 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- A reinforcement learning framework☆155Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆215Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- A customizable framework to create maze and gridworld environments☆268Updated 6 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆140Updated 5 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆371Updated 3 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆151Updated 3 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆251Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆398Updated last year
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆376Updated 2 years ago