MattChanTK / gym-mazeLinks
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
☆375Updated 2 years ago
Alternatives and similar repositories for gym-maze
Users that are interested in gym-maze are comparing it to the libraries listed below
Sorting:
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- A customizable framework to create maze and gridworld environments☆269Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆333Updated 4 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- Sokoban environment for OpenAI Gym☆393Updated 2 years ago
- Multi Agent Reinforcement Learning using MalmÖ☆265Updated 5 years ago
- ☆304Updated 2 years ago
- A collection of multi agent environments based on OpenAI gym.☆629Updated last year
- Repo for reproduction of sequential social dilemmas☆412Updated 10 months ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆662Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆754Updated last month
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- Tools for accelerating safe exploration research.☆580Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆177Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆435Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- List of competitions related to Reinforcement Learning☆350Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆306Updated 2 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- ☆276Updated 7 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆90Updated 4 years ago