[RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model
☆31Aug 5, 2022Updated 3 years ago
Alternatives and similar repositories for MAIRL
Users that are interested in MAIRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆23May 20, 2023Updated 2 years ago
- Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA☆13Dec 17, 2022Updated 3 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆29Dec 25, 2023Updated 2 years ago
- This project explores object tracking of human and vehicle targets in the infrared using Matlab. Using the OTCBVS Benchmark Dataset Colle…☆20Mar 2, 2015Updated 11 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Oct 9, 2020Updated 5 years ago
- A new model-based algorithm for offline inverse reinforcement learning☆15Feb 20, 2023Updated 3 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆16Jul 31, 2023Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆219Jun 19, 2019Updated 6 years ago
- Swarm learning algorithm☆11Jun 2, 2021Updated 4 years ago
- ☆13Feb 10, 2021Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆241Nov 22, 2020Updated 5 years ago
- A PyTorch-based deep inverse reinforcement learning pipeline for vehicle motion forecasting☆84Jan 23, 2019Updated 7 years ago
- Large-scale multi-objective optimization related papers☆10Aug 3, 2022Updated 3 years ago
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆55Dec 25, 2024Updated last year
- Implementations of Maximum Entropy Algorithms for solving Inverse Reinforcement Learning problems.☆30Nov 4, 2022Updated 3 years ago
- ☆31Jan 7, 2023Updated 3 years ago
- ☆11Feb 28, 2022Updated 4 years ago
- ☆276Jun 5, 2018Updated 7 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆38Jun 11, 2024Updated last year
- ☆66May 25, 2020Updated 5 years ago
- Implementation of PatchAIL in the ICLR 2023 paper <Visual Imitation with Patch Rewards>☆14Feb 15, 2023Updated 3 years ago
- Generative adversarial imitation learning on NGSIM I-80 Dataset.☆17Mar 14, 2023Updated 3 years ago
- Cloud computing task scheduling algorithm for single and multi-objective optimization, using Cloudsim 5.0 simulation.☆14Apr 6, 2023Updated 2 years ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆49Dec 27, 2022Updated 3 years ago
- ☆28Feb 28, 2025Updated last year
- Integration of RLLib and CARLA☆79Nov 11, 2022Updated 3 years ago
- Literature and code for inverse reinforcement leanring research☆29Mar 6, 2020Updated 6 years ago
- This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".☆10Aug 10, 2020Updated 5 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Feb 28, 2023Updated 3 years ago
- ☆12Apr 1, 2025Updated 11 months ago
- [AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving☆29Nov 6, 2023Updated 2 years ago
- Code for "Sample-efficient Deep Reinforcement Learning of Mobile Manipulation for 6-DOF Trajectory Following"☆13Mar 19, 2025Updated last year
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14May 25, 2022Updated 3 years ago
- [CoRL'20] Learning a Decision Module by Imitating Driver’s Control Behaviors☆31Aug 5, 2022Updated 3 years ago
- ☆14Aug 27, 2022Updated 3 years ago
- Identifying and Avoiding Unpredictable Pedestrians in RL-based Social Robot Navigation☆15Aug 12, 2024Updated last year
- This repo contains the code for paper "Learning naturalistic driving environment with statistical realism"☆64Sep 28, 2023Updated 2 years ago
- ☆16Aug 2, 2023Updated 2 years ago
- We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…☆21Oct 18, 2021Updated 4 years ago