gandroz / rl-taxiLinks
Reinforcement learning for taxi cab v3
☆15Updated 2 years ago
Alternatives and similar repositories for rl-taxi
Users that are interested in rl-taxi are comparing it to the libraries listed below
Sorting:
- Unity Machine Learning Agents Toolkit☆48Updated 2 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆135Updated 5 years ago
- ☆12Updated 4 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆55Updated 4 years ago
- Additional code for Stable-baselines3 to load and upload models from the Hub.☆87Updated last year
- Reinforcement Learning + Starcraft 2☆150Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆130Updated 8 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆229Updated 5 months ago
- A multi-agent environment using Unity ML-Agents Toolkit☆10Updated 4 years ago
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆128Updated last month
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated last month
- A collection of Gymnasium compatible games for reinforcement learning.☆81Updated 3 weeks ago
- A repository to reproduce the experiments of the MA-POCA paper☆21Updated 9 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆100Updated 2 months ago
- A Simple Game Using Unity ML-Agents☆10Updated 4 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆98Updated 2 years ago
- An OpenAI Gym environment for the Flappy Bird game☆126Updated 3 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆73Updated 8 months ago
- This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This not…☆48Updated 4 years ago
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆15Updated 4 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆54Updated last year
- Web application where humans can play Overcooked with AI agents.☆58Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.☆23Updated 4 years ago
- ☆32Updated 5 years ago
- Applying minimaxQ learning algorithm to 2 agents games☆33Updated 7 years ago
- Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncat…☆12Updated 6 years ago