Alternatives and similar repositories for cpp-dqn

Users that are interested in cpp-dqn are comparing it to the libraries listed below

• navneet-nmk / Pytorch-RL-CPP
  A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
  ☆100Updated 6 years ago
• jianzhnie / RLZero
  A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
  ☆16Updated last year
• tuero / muzero-cpp
  A C++ pytorch implementation of MuZero
  ☆41Updated last year
• pocokhc / agent57
  Qiita投稿用に作成したAgent57(強化学習)の実装コードです。
  ☆45Updated 2 years ago
• alantess / gtrxl-torch
  Gated Transformer Model for Computer Vision
  ☆23Updated 4 years ago
• mjanschek / pytorch_seed_rl
  A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.
  ☆14Updated 4 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• submit-paper / Doudizhu_plus
  ☆45Updated 3 years ago
• jsztompka / MultiAgent-PPO
  Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis
  ☆30Updated 6 years ago
• thanhnguyentang / mmdrl
  Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354
  ☆27Updated 4 years ago
• cair / deep-rts
  A Real-Time-Strategy game for Deep Learning research
  ☆238Updated 2 years ago
• YuriCat / MuZeroJupyterExample
  ☆66Updated 4 years ago
• wing3s / pysc2-rl-mini
  StarCraft II Reinforcement Learning with Pytorch - Mini Games
  ☆24Updated 7 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆39Updated 8 months ago
• Farama-Foundation / momaland
  Benchmarks for Multi-Objective Multi-Agent Decision Making
  ☆112Updated last month
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated last year
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆69Updated 5 months ago
• wisnunugroho21 / reinforcement_learning_phasic_policy_gradient
  Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow
  ☆20Updated 4 years ago
• Farama-Foundation / gym-examples
  Example code for the Gym documentation
  ☆72Updated 2 years ago
• kimbring2 / AlphaStar_Implementation
  This project is implementation code of AlphaStar
  ☆204Updated last year
• adepierre / Caffe_AlphaZero
  Implementation of Deepmind's AlphaZero algorithm with Caffe and C++
  ☆19Updated 7 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 6 months ago
• openai / understanding-rl-vision
  Code for the paper "Understanding RL Vision"
  ☆50Updated 2 years ago
• DavidMouse1118 / Reinforcement-Learning-Maze-World
  SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
  ☆29Updated 6 years ago
• johan-gras / MuZero
  A structured implementation of MuZero
  ☆205Updated 3 years ago
• wisnunugroho21 / reinforcement_learning_ppo_rnd
  Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…
  ☆54Updated last week
• JBLanier / pipeline-psro
  Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
  ☆54Updated last year
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆69Updated last year
• DHDev0 / Stochastic-muzero
  Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…
  ☆74Updated 2 years ago
• vivek3141 / super-mario-rl
  Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
  ☆29Updated 7 years ago