yobibyte / atarigrandchallenge
Code for 'The Grand Atari Challenge dataset' paper
☆52Updated 7 years ago
Alternatives and similar repositories for atarigrandchallenge:
Users that are interested in atarigrandchallenge are comparing it to the libraries listed below
- ☆43Updated 8 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- ☆65Updated last year
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆208Updated 6 years ago
- impact-driven-exploration☆130Updated last year
- krazy grid world☆25Updated 5 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Soft Actor-Critic☆144Updated 7 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆247Updated last year
- ☆85Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆86Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- ☆42Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year