Alternatives and similar repositories for PPO-Mario-Bros-Tensorflow-2:

Users that are interested in PPO-Mario-Bros-Tensorflow-2 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.
  ☆68Updated 8 months ago
• Bigpig4396 / PyTorch-Deep-Recurrent-Q-Learning-DRQN
  ☆41Updated 5 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆183Updated 3 years ago
• DeUmbraTX / practical_rllib_tutorial
  Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
  ☆64Updated 2 years ago
• jw1401 / PPO-Tensorflow-2.0
  Proximal Policy Optimization with Tensorflow 2.0
  ☆31Updated 5 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆99Updated 2 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆66Updated 3 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆98Updated 5 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆87Updated last year
• marctuscher / DRQN-tensorflow
  Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
  ☆174Updated 2 years ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆174Updated 8 months ago
• wsjeon / maddpg-rllib
  MADDPG in Ray/RLlib
  ☆53Updated 5 years ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆137Updated 6 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
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆306Updated 3 years ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆26Updated 5 years ago
• YangShengqi / cartpole_ppo_lstm
  ☆13Updated 4 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆218Updated 2 months ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆58Updated 4 years ago
• anita-hu / TF2-RL
  Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
  ☆308Updated 2 years ago
• BY571 / Deep-Reinforcement-Learning-Algorithm-Collection
  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
  ☆78Updated 4 years ago
• sven1977 / rllib_tutorials
  Ray RLlib tutorial material
  ☆116Updated 3 years ago
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆29Updated 6 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆134Updated 4 years ago
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆152Updated last year
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆94Updated 4 years ago
• ChuaCheowHuan / reinforcement_learning
  My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
  ☆38Updated 2 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆34Updated 3 years ago
• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆175Updated 6 months ago
• ChintanTrivedi / rl-bot-football
  An RL agent for the Google Football environment
  ☆95Updated 3 years ago