HannesStark / gnn-reinforcement-learning
Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
☆32Updated 4 years ago
Alternatives and similar repositories for gnn-reinforcement-learning:
Users that are interested in gnn-reinforcement-learning are comparing it to the libraries listed below
- Model Predictive Actor-Critic Reinforcement Learning☆60Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆30Updated 2 years ago
- Learning multi-agent robotic mobile manipulation with deep reinforcement learning☆101Updated 2 years ago
- ☆21Updated last year
- Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning, ICRA 2021☆49Updated 3 years ago
- Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.☆34Updated 3 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago
- The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'☆103Updated 2 years ago
- Quadcopter control with RL☆13Updated 3 years ago
- RL Reach is a platform for running reproducible reinforcement learning experiments.☆42Updated 3 years ago
- ☆48Updated 2 months ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆58Updated 4 years ago
- [IROS 22'] Model-free Neural Lyapunov Control☆22Updated 2 years ago
- ☆72Updated 4 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 9 months ago
- DecentralizedLearning☆24Updated 2 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆83Updated last year
- Graph convolutional memory for reinforcement learning☆23Updated 3 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆33Updated 2 years ago
- Model-based Policy Gradients☆31Updated 5 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆50Updated 2 years ago
- Learning robotic mobile manipulation with deep reinforcement learning☆37Updated 2 years ago
- Literature and code for inverse reinforcement leanring research☆28Updated 5 years ago
- Robot Reinforcement Learning on the Constraint Manifold☆50Updated 3 years ago
- ☆18Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators☆60Updated 3 years ago