mwufi / meta-rl-banditsLinks
A simple RNN meta-learner
☆10Updated 6 years ago
Alternatives and similar repositories for meta-rl-bandits
Users that are interested in meta-rl-bandits are comparing it to the libraries listed below
Sorting:
- ☆20Updated 2 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- There will be updates later☆85Updated 6 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- ☆49Updated 4 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆89Updated 5 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- Assignments for CS294-112.☆30Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- ppo-lstm-parallel☆47Updated 6 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆78Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- ☆97Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆70Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆50Updated 2 years ago
- ☆32Updated 2 years ago
- ☆122Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 10 months ago
- ☆40Updated 3 years ago
- Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…☆32Updated 2 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- ☆45Updated 4 years ago