theevann / MinimaxQ-LearningLinks
Applying minimaxQ learning algorithm to 2 agents games
☆33Updated 7 years ago
Alternatives and similar repositories for MinimaxQ-Learning
Users that are interested in MinimaxQ-Learning are comparing it to the libraries listed below
Sorting:
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆42Updated 6 years ago
- ☆111Updated 2 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆82Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- ☆26Updated 7 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆58Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆81Updated 2 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆50Updated 6 years ago
- Reinforcement Learning Methods with PyTorch☆39Updated 5 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago