From 12b096d3e7f93b1ee72d9f149f65c65eac8aa482 Mon Sep 17 00:00:00 2001 From: Luke Rowe Date: Fri, 4 Oct 2024 12:58:49 -0400 Subject: [PATCH] update website --- _config.yml | 2 +- index.md | 12 ++++++------ 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/_config.yml b/_config.yml index 5445ef2..d43a4e7 100644 --- a/_config.yml +++ b/_config.yml @@ -1,5 +1,5 @@ title: "CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning" -description: A framework that leverages offline reinforcement learning for controllable closed-loop simulation.
Work by Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal +description: A framework that leverages offline reinforcement learning for controllable closed-loop simulation.
CoRL 2024
Work by Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal theme: jekyll-theme-cayman links: arxiv: https://arxiv.org/abs/2403.19918 diff --git a/index.md b/index.md index a3352cd..dbc65e0 100644 --- a/index.md +++ b/index.md @@ -134,7 +134,7 @@ At inference time, we leverage exponential tilting to control the agent behaviou ![](multi-agent-sim-website.gif) -CtRL-Sim can faithfully imitate the multi-agent driving behaviours found in the Waymo dataset. The teal agents are controlled by CtRL-Sim, and other agents in pink are set to log-replay. +CtRL-Sim can faithfully imitate the multi-agent driving behaviours found in the Waymo dataset. The teal agents are controlled by CtRL-Sim, and other agents in beige are set to log-replay. ![](veh-veh-tilting-website.gif) @@ -144,9 +144,9 @@ Exponential tilting enables control over the generation of realistic vehicle-veh @inproceedings{ rowe2024ctrlsim, - title={CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning}, - author={Luke Rowe and Roger Girgis and Anthony Gosselin and Bruno Carrez and Florian Golemo and Felix Heide and Liam Paull and Christopher Pal}, - journal={arXiv}, - volume={2403.19918}, - year={2024} + title={Ct{RL}-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning}, + author={Luke Rowe and Roger Girgis and Anthony Gosselin and Bruno Carrez and Florian Golemo and Felix Heide and Liam Paull and Christopher Pal}, + booktitle={8th Annual Conference on Robot Learning}, + year={2024}, + url={https://openreview.net/forum?id=MfIUKzihC8} }