aws-samples / amazon-sagemaker-tsp-deep-rlLinks
train, deploy, and make inferences using deep reinforcement learning to solve the Travelling Salesperson Problem
☆20Updated 2 years ago
Alternatives and similar repositories for amazon-sagemaker-tsp-deep-rl
Users that are interested in amazon-sagemaker-tsp-deep-rl are comparing it to the libraries listed below
Sorting:
- ☆32Updated 4 years ago
- ☆24Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Public version of the decentralized, attention-based mTSP code☆39Updated 4 years ago
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆29Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆42Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 4 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 4 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆132Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- DecentralizedLearning☆25Updated 3 years ago
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated 9 months ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- PPO and PyMARL baseline for Pogema environment☆24Updated last year
- Uber's Multi-Agent Routing Value Iteration Network☆66Updated 5 years ago
- Emergence of complex strategies through multiagent competition☆45Updated 3 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated 2 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆59Updated 2 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- ☆30Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆54Updated 9 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆92Updated 2 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆17Updated 6 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆48Updated 7 years ago