#
Lists (1)
Starred repositories
stephencwelch / manim_videos
Forked from 3b1b/videosCode for the manim-generated scenes used in welch labs videos
Easily train a good VC model with voice data <= 10 mins!
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
Risk-Aware Preference-baser Reinforcement Learning (RA-PbRL)
Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic - Topics in Intelligent Systems
A Conversational Speech Generation Model
Reinforcement learning prioritizes general applicability in reaction optimization
TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
Training framework for conditional imitation learning
Code accompanies the paper 'Multi-intention Inverse Q-learning for Interpretable Behavior Representation'.
An open-source library for generating trajectories (multi-axis, multi-segment) using two different methods (trapezoidal, polynomial).
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)
Emerge-Lab / nocturne_lab
Forked from facebookresearch/nocturneA data-driven, fast driving simulator for multi-agent coordination under partial observability.
"Pooling Toolbox" is the code of our work "Maneuver-Aware Pooling for Vehicle Trajectory Prediction".
Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV
Author's PyTorch implementation of paper Reinforced Imitative Trajectory Planning for Urban Automated Driving
Code for running the implementations proposed in: Westny, T., Oskarsson, J., Olofsson, B. and Frisk, E., "MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs", IEEE…
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020