smorad / graph-conv-memory-paperLinks
Graph convolutional memory for reinforcement learning
☆23Updated 4 years ago
Alternatives and similar repositories for graph-conv-memory-paper
Users that are interested in graph-conv-memory-paper are comparing it to the libraries listed below
Sorting:
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆65Updated 4 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Swarm learning algorithm☆11Updated 4 years ago
- reinforcement learning with pytorch geometric library☆50Updated 3 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated 2 months ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 10 months ago
- Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.☆12Updated 2 years ago
- ☆22Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆78Updated last year
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago
- Implementation of Robust Adversarial Reinforcement Learning☆13Updated 7 years ago
- ☆30Updated 5 years ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆78Updated 4 years ago
- ☆73Updated 5 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆86Updated last year
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presenta…☆10Updated last year
- Learning multi-agent policies for flocking using graph neural networks☆77Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆81Updated last year
- On-Policy Policy Gradient Algorithms in JAX☆38Updated last year
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆33Updated 5 years ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆25Updated 6 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago