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:
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- ☆77Updated 7 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆130Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- ☆78Updated last year
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 7 months ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- PyTorch implementation of Never Give Up: Learning Directed Exploration Strategies☆58Updated 4 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- ☆114Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆84Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- ppo-lstm-parallel☆47Updated 6 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆32Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- ☆131Updated last year