zuoxingdong / mazelabLinks
A customizable framework to create maze and gridworld environments
☆269Updated 6 years ago
Alternatives and similar repositories for mazelab
Users that are interested in mazelab are comparing it to the libraries listed below
Sorting:
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆181Updated 8 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆246Updated 3 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆210Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆373Updated 4 years ago
- Random Network Distillation pytorch☆257Updated 6 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 8 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆255Updated 2 years ago
- Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)☆124Updated 4 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- ☆273Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 8 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133Updated 6 years ago
- ☆397Updated 6 years ago
- ☆139Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆139Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆195Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago