podondra / gym-gridworlds
Gridworld environments for OpenAI gym.
☆80Updated last year
Alternatives and similar repositories for gym-gridworlds:
Users that are interested in gym-gridworlds are comparing it to the libraries listed below
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆196Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆203Updated last year
- Gridworld for MARL experiments☆139Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated 2 months ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆83Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆306Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆89Updated 7 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆188Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆171Updated 7 months ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆211Updated 10 months ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆203Updated 4 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆143Updated 3 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆46Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated last year
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- Multitask Environments for RL☆275Updated 3 years ago
- impact-driven-exploration☆129Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆236Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆117Updated 4 months ago
- OpenAI gym-based algorithm for the grid world problem☆28Updated 4 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆189Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆175Updated 6 months ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- ☆92Updated 4 years ago