saashanair / rl-series
☆23Updated 2 years ago
Alternatives and similar repositories for rl-series:
Users that are interested in rl-series are comparing it to the libraries listed below
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆67Updated 5 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆98Updated 2 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆69Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 4 years ago
- ☆182Updated 2 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆49Updated 8 months ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Implementation for mSAC methods in PyTorch☆40Updated 3 years ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆95Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆169Updated 4 months ago
- Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.☆95Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆199Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆51Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆76Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆116Updated 2 months ago
- A collection of recent MARL papers☆82Updated last month
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆328Updated 4 years ago
- This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.☆99Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆156Updated 9 months ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆61Updated 7 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆98Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆211Updated last month
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- qmix☆22Updated 4 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆62Updated 2 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆19Updated last month
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆316Updated 3 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆149Updated last year