jiseongHAN / Super-Mario-RL
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
☆105Updated 2 months ago
Alternatives and similar repositories for Super-Mario-RL:
Users that are interested in Super-Mario-RL are comparing it to the libraries listed below
- ☆231Updated 11 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆169Updated 4 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆211Updated last month
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 4 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆546Updated 3 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆157Updated 2 months ago
- ☆192Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆300Updated last month
- ☆182Updated 2 years ago
- ☆365Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆339Updated last year
- Lightweight multi-agent gridworld Gym environment☆199Updated last year
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆304Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆441Updated last year
- Solve BipedalWalkerHardcore-v2 with TD3☆83Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆686Updated 2 years ago
- ☆209Updated last month
- A collection of MARL benchmarks based on TorchRL☆325Updated this week
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆316Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆107Updated 10 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆283Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 8 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆98Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆166Updated 5 months ago
- This is the official implementation of Multi-Agent PPO.☆101Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆339Updated 3 years ago
- Deep Q-Learning (DQN) implementation for Atari pong.☆76Updated 2 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆334Updated 4 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆115Updated 2 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆206Updated last year