sven1977 / rllib_tutorialsLinks
Ray RLlib tutorial material
☆121Updated 3 years ago
Alternatives and similar repositories for rllib_tutorials
Users that are interested in rllib_tutorials are comparing it to the libraries listed below
Sorting:
- RLlib tutorials☆66Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆351Updated 4 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆242Updated 9 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆119Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- Datasets with baselines for Offline MARL.☆186Updated 2 weeks ago
- A collection of pre-trained RL agents using Stable Baselines3☆139Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆128Updated 11 months ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆68Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- ☆184Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆204Updated 11 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Partially Observable Process Gym☆205Updated 5 months ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆283Updated 3 years ago
- Code for conservative Q-learning☆462Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆164Updated 2 years ago
- A parallel framework for population-based multi-agent reinforcement learning.☆541Updated last year