research
∙
06/15/2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Reinforcement learning (RL) has shown promise in creating robust policie...
share
research
∙
02/18/2023
Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)
We describe a cognitive architecture intended to solve a wide range of p...
research
∙
04/17/2022
Cognitive Architecture for Decision-Making Based on Brain Principles Programming
We describe a cognitive architecture intended to solve a wide range of p...
research
∙
09/23/2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
Predicting the future motion of traffic agents is crucial for safe and e...
research
∙
09/16/2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning
We demonstrate the possibility of learning drone swarm controllers that ...
research
∙
10/03/2019
Generalized Inner Loop Meta-Learning
Many (but not all) approaches self-qualifying as "meta-learning" in deep...
research
∙
06/12/2019
Meta-Learning via Learned Loss
We present a meta-learning approach based on learning an adaptive, high-...
research
∙
03/11/2019
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors
Quadrotor stabilizing controllers often require careful, model-specific ...
research
∙
07/04/2018
Region Growing Curriculum Generation for Reinforcement Learning
Learning a policy capable of moving an agent between any two states in t...
research
∙
05/18/2018