Alternatives and similar repositories for Actor-Critic-Methods-Paper-To-Code

Users that are interested in Actor-Critic-Methods-Paper-To-Code are comparing it to the libraries listed below

• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆292Updated 4 years ago
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆426Updated 2 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆352Updated 5 years ago
• cyoon1729 / deep-Q-networks
  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
  ☆308Updated 5 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆239Updated 9 months ago
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆69Updated 4 months ago
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆311Updated last year
• anita-hu / TF2-RL
  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
  ☆315Updated 3 years ago
• RITCHIEHuang / DeepRL_Algorithms
  DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…
  ☆343Updated 2 years ago
• cyoon1729 / RLcycle
  A library for ready-made reinforcement learning agents and reusable components for neat prototyping
  ☆299Updated last year
• pythonlessons / Reinforcement_Learning
  Reinforcement learning tutorials
  ☆388Updated 2 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆326Updated 3 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆101Updated 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,…
  ☆121Updated 4 years ago
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆175Updated 2 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆80Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆147Updated 6 years ago
• Kchu / DeepRL_PyTorch
  Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
  ☆214Updated 2 years ago
• iffiX / machin
  Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
  ☆419Updated 4 years ago
• mohammadasghari / dqn-multi-agent-rl
  Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)
  ☆351Updated 5 years ago
• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆196Updated last year
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆619Updated last year
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆100Updated 6 years ago
• cts198859 / deeprl_network
  multi-agent deep reinforcement learning for networked system control.
  ☆427Updated 5 years ago
• Bigpig4396 / Multi-Agent-Reinforcement-Learning-Environment
  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
  ☆733Updated 3 years ago
• sisl / MADRL
  Repo containing code for multi-agent deep reinforcement learning (MADRL).
  ☆722Updated 2 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆221Updated 6 years ago
• Farama-Foundation / MAgent
  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
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆324Updated 2 years ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆186Updated last year