Alternatives and similar repositories for snake-rl

Users that are interested in snake-rl are comparing it to the libraries listed below

• ThousandOfWind / DRL-baseline
  Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
  ☆19Updated 4 years ago
• Kuax-Meat / Snake-Reinforcement-Deep-Q-Learning
  Play Snake Game with Deep Q-Network(DQN)
  ☆8Updated 4 years ago
• hope-yao / cartpole
  Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment
  ☆14Updated 7 years ago
• jinliangXX / learn_DRL
  学习DRL CNN -> DQN -> LSTM
  ☆13Updated 6 years ago
• Desny / DQN
  DQN related algorithms
  ☆10Updated 2 years ago
• fakemonk1 / Reinforcement-Learning-Lunar_Lander
  ☆48Updated 5 years ago
• jianzhnie / RLToolkit
  RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG,…
  ☆17Updated last year
• YangShengqi / cartpole_ppo_lstm
  ☆13Updated 5 years ago
• gsavarela / networked_agents
  Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
  ☆8Updated 3 years ago
• alexanderbaumann99 / PPO-Algorithms
  Experiments of the three PPO-Algorithms (PPO, clipped PPO, PPO with KL-penalty) proposed by John Schulman et al. on the 'Cartpole-v1' env…
  ☆13Updated 3 years ago
• PeixianChen / RL-MPE
  用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境
  ☆24Updated 7 years ago
• sarikayamehmet / DRL-Torcs
  PyTorch implementation of Deterministic Policy Gradient (DDPG) and Proximal Policy Optimization (PPO) on TORCS (The Open Racing Car Simul…
  ☆15Updated 6 years ago
• saaries / Maze_DQN_reinforcement_learning
  Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze
  ☆8Updated 2 years ago
• DavidMouse1118 / Reinforcement-Learning-Maze-World
  SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis
  ☆29Updated 5 years ago
• abhisheksuran / Reinforcement_Learning
  Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
  ☆99Updated 2 years ago
• andywu0913 / OpenAI-GYM-CarRacing-DQN
  Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
  ☆94Updated 4 years ago
• msinto93 / DQN_Atari
  A Tensorflow implementation of a Deep Q Network (DQN) for playing Atari games.
  ☆10Updated 6 years ago
• Guillaume-Cr / lunar_lander_per
  ☆17Updated 4 years ago
• jw1401 / PPO-Tensorflow-2.0
  Proximal Policy Optimization with Tensorflow 2.0
  ☆31Updated 5 years ago
• siavash91 / TC-DQN
  Adaptive Signal Traffic Control with Reinforcement Learning: Towards State-of-the-art and Beyond
  ☆8Updated 4 years ago
• FranciscoHu17 / BipedalWalker
  Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk
  ☆9Updated 4 years ago
• antonai91 / reinforcement_learning
  ☆15Updated 4 years ago
• wsjeon / maddpg-rllib
  MADDPG in Ray/RLlib
  ☆54Updated 5 years ago
• RvuvuzelaM / self-attention-ppo-pytorch
  I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf
  ☆35Updated 2 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• xtma / pytorch_car_caring
  Reinforcement Learning for Gym CarRacing-v0 with PyTorch
  ☆157Updated 6 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆105Updated 4 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• david-simoes-93 / Mixed-Policy-Asynchronous-Deep-Q-Learning
  Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…
  ☆15Updated 7 years ago
• Z-T-WANG / ConvergentDQN
  Codes accompanying the paper "A Convergent and Efficient Deep Q Network Algorithm"
  ☆8Updated 3 years ago