Alternatives and similar repositories for gnn-reinforcement-learning

Users that are interested in gnn-reinforcement-learning are comparing it to the libraries listed below

• jimmyyhwu / spatial-intention-maps
  Learning multi-agent robotic mobile manipulation with deep reinforcement learning
  ☆106Updated 3 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆66Updated 3 years ago
• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆89Updated last year
• jyf588 / SimGAN
  Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning, ICRA 2021
  ☆49Updated 4 years ago
• suneelbelkhale / model-based-meta-rl-for-flight
  Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…
  ☆33Updated 2 years ago
• rainorangelemon / gnn-motion-planning
  The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'
  ☆107Updated 2 years ago
• yuchen-x / MacroMARL
  ☆23Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆41Updated 3 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 3 months ago
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• PierreExeter / rl_reach
  RL Reach is a platform for running reproducible reinforcement learning experiments.
  ☆43Updated 2 months ago
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆57Updated 2 years ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆32Updated 5 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆43Updated 3 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆24Updated 3 years ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆34Updated 3 years ago
• ZikangXiong / MFNLC
  [IROS 22'] Model-free Neural Lyapunov Control
  ☆27Updated 2 years ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆95Updated 5 years ago
• ChengshuLi / HRL4IN
  Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
  ☆69Updated 4 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆39Updated 4 years ago
• proroklab / ControllingBehavioralDiversity
  This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…
  ☆27Updated 10 months ago
• araffin / tools-for-robotic-rl-icra2022
  Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3
  ☆100Updated last month
• montaserFath / BCO
  behavior cloning from observation
  ☆36Updated 4 years ago
• proroklab / graph-conv-memory
  Graph convolutional memory
  ☆16Updated 3 years ago
• PuzeLiu / rl_on_manifold
  Robot Reinforcement Learning on the Constraint Manifold
  ☆57Updated 3 years ago
• omron-sinicx / jaxmapp
  JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
  ☆52Updated 2 years ago
• katetolstaya / multiagent_gnn_policies
  Learning multi-agent policies for flocking using graph neural networks
  ☆82Updated 2 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆16Updated 6 years ago
• yashbonde / Transformer-RL
  Experiments to train transformer network to master reinforcement learning environments.
  ☆32Updated 4 years ago