Alternatives and similar repositories for mad-from-scratch:

Users that are interested in mad-from-scratch are comparing it to the libraries listed below

• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆67Updated 5 months ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆92Updated 3 years ago
• seolhokim / InverseRL-Pytorch
  Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation
  ☆63Updated 3 years ago
• DeUmbraTX / practical_rllib_tutorial
  Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
  ☆62Updated 2 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆156Updated 9 months ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• RaghuHemadri / Multi-Agent-Reinforcement-Learning-Survey-Papers
  ☆29Updated 3 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆120Updated 10 months ago
• antonai91 / reinforcement_learning
  ☆14Updated 3 years ago
• BY571 / DQN-Atari-Agents
  DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…
  ☆120Updated 4 years ago
• uoe-agents / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆64Updated 4 months ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆128Updated 7 months ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆51Updated last year
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆60Updated 7 months ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆76Updated 4 years ago
• semitable / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆334Updated 4 months ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆69Updated 5 years ago
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆61Updated 7 months ago
• Bigpig4396 / PyTorch-Deep-Recurrent-Q-Learning-DRQN
  ☆41Updated 5 years ago
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆130Updated 8 months ago
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆28Updated 6 years ago
• arshren / Reinforcement_Learning
  RL Algorithms
  ☆13Updated last year
• mynkpl1998 / Recurrent-Deep-Q-Learning
  Solving POMDP using Recurrent networks
  ☆85Updated 4 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆114Updated 9 months ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆67Updated 2 years ago
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆73Updated 3 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆97Updated 5 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆26Updated last year
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆64Updated 5 years ago