svpino / lunar-lander
OpenAI Gym's LunarLander-v2 Implementation
☆40Updated 11 months ago
Alternatives and similar repositories for lunar-lander:
Users that are interested in lunar-lander are comparing it to the libraries listed below
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆222Updated 3 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- ☆185Updated 3 years ago
- ☆17Updated 4 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆97Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆178Updated 7 months ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆155Updated 6 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆316Updated last month
- Ship simulafor in openai gym style☆39Updated 6 years ago
- ☆48Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆97Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆361Updated 7 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆125Updated 5 months ago
- Lightweight multi-agent gridworld Gym environment☆204Updated last year
- Example code for the Gym documentation☆71Updated last year
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆412Updated 4 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆52Updated 11 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.☆23Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆293Updated 5 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆411Updated 3 weeks ago
- Solving OpenAI Gym problems.☆186Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆311Updated 3 years ago
- PyTorch implementation of the intrinsic curiosity module (ICM) and A3C a;lgorithm☆22Updated 3 years ago
- Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs☆69Updated 6 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆175Updated 10 months ago
- ☆67Updated 2 years ago