Alternatives and similar repositories for human-level-control-through-deep-reinforcement-learning

Users that are interested in human-level-control-through-deep-reinforcement-learning are comparing it to the libraries listed below

• erikdelange / Reinforcement-Learning-Maze
  Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.
  ☆103Updated 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
• twni2016 / Meta-SAC
  Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
  ☆32Updated 4 years ago
• OpenRL-Lab / TiZero
  Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
  ☆61Updated 2 years ago
• AntoineTheb / RNN-RL
  Experiments with reinforcement learning and recurrent neural networks
  ☆115Updated last year
• jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning
  📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
  ☆56Updated last year
• fschur / DDQN-with-PyTorch-for-OpenAI-Gym
  Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
  ☆69Updated 4 months ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆238Updated 8 months ago
• michaelnny / muzero
  A PyTorch implementation of DeepMind's MuZero agent
  ☆36Updated last year
• jihoonerd / Human-level-control-through-deep-reinforcement-learning
  📖 Paper: Human-level control through deep reinforcement learning 🕹️
  ☆51Updated last year
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆52Updated 5 months ago
• facebookresearch / online-dt
  Online Decision Transformer
  ☆270Updated last year
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆210Updated 2 years ago
• crisbodnar / pderl
  Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
  ☆55Updated last year
• alirezakazemipour / Continuous-PPO
  Proximal Policy Optimization (Continuous Version) in PyTorch.
  ☆29Updated 5 months ago
• elicassion / StARformer
  [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.
  ☆94Updated 2 years ago
• MarcoMeter / episodic-transformer-memory-ppo
  Clean baseline implementation of PPO using an episodic TransformerXL memory
  ☆192Updated last year
• Theohhhu / UPDeT
  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…
  ☆135Updated 4 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆184Updated 3 years ago
• RaghuHemadri / Multi-Agent-Reinforcement-Learning-Survey-Papers
  ☆33Updated 4 years ago
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆105Updated 3 years ago
• dhruvramani / Transformers-RL
  An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
  ☆181Updated 2 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆51Updated 4 years ago
• stefanbo92 / A3C-Continuous
  Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
  ☆46Updated 8 years ago
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆164Updated 2 years ago
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆69Updated last year
• jcwleo / curiosity-driven-exploration-pytorch
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆141Updated 2 years ago
• Matt00n / PolicyGradientsJax
  On-Policy Policy Gradient Algorithms in JAX
  ☆40Updated last year
• marl-book / codebase
  Official code repo for the MARL book (www.marl-book.com)
  ☆555Updated 6 months ago
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆61Updated 2 years ago