Neurips 2023 Model Based Control

May 22, 2026
Media Summary: Members of the Open Catalyst Project discuss this year's Presentation by Alberto Chiappa In Reinforcement Learning, agents learn policies by exploring and interacting with the ... Explanation video of the paper prediction and

Neurips 2023 Model Based Control - Detailed Analysis & Overview

Members of the Open Catalyst Project discuss this year's Presentation by Alberto Chiappa In Reinforcement Learning, agents learn policies by exploring and interacting with the ... Explanation video of the paper prediction and code: paper: Arxiv, Abstract— Accurately ... Authors: Andrew Spielberg, Allan Zhao, Tao Du, Yuanming Hu, Daniela Rus, Wojciech Matusik Soft robots have continuum solid ... The video for paper: Learning from Active Human Involvement through Proxy Value Propagation (

See project page for paper link, videos, blog post, code, and data: Authors: Elle Miller, Trevor ... Talk Abstract: The talk will discuss the challenges of certifying the safety and robustness properties of machines that learn. Get full access to podcasts, meetups, learning resources and programming activities for free on ... Lex Fridman Podcast full episode: Please support this podcast by checking out ... Legged robots have achieved impressive feats in dynamic locomotion in challenging unstructured terrain. However, in ...

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[NeurIPS 2023] Model-Based Control with Sparse Neural Dynamics
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NeurIPS 2023: Latent Exploration for Reinforcement Learning
Autonomous driving using Nonlinear Model Predictive Control
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Model Predictive Control
Learning long term dynamics for model based RL
[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters
[NeurIPS 2023] Visual Programming for Text-to-Image Generation and Evaluation
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design of Soft Robots (NeurIPS 2019)
Human-in-the-loop Policy Learning PVP Video (NeurIPS 2023 Spotlight)
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

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[NeurIPS 2023] Model-Based Control with Sparse Neural Dynamics

[NeurIPS 2023] Model-Based Control with Sparse Neural Dynamics

Model

NeurIPS 2023: Open Catalyst Challenge | Challenge Overview

NeurIPS 2023: Open Catalyst Challenge | Challenge Overview

Members of the Open Catalyst Project discuss this year's

NeurIPS 2023: Latent Exploration for Reinforcement Learning

NeurIPS 2023: Latent Exploration for Reinforcement Learning

Presentation by Alberto Chiappa In Reinforcement Learning, agents learn policies by exploring and interacting with the ...

Autonomous driving using Nonlinear Model Predictive Control

Autonomous driving using Nonlinear Model Predictive Control

Test of my Nonlinear

Prediction and Control in Continual Reinforcement Learning | NeurIPS 2023

Prediction and Control in Continual Reinforcement Learning | NeurIPS 2023

Explanation video of the paper prediction and

Model Predictive Control

Model Predictive Control

This lecture provides an overview of

Learning long term dynamics for model based RL

Learning long term dynamics for model based RL

code: https://github.com/natolambert/continuousprediction paper: Arxiv, https://arxiv.org/pdf/2012.09156.pdf Abstract— Accurately ...

[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters

[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters

Project Page: https://jiawei-ren.github.io/projects/insactor/index.html.

[NeurIPS 2023] Visual Programming for Text-to-Image Generation and Evaluation

[NeurIPS 2023] Visual Programming for Text-to-Image Generation and Evaluation

Abstract: As large language

Learning-In-The-Loop Optimization: End-To-End Control And Co-Design of Soft Robots (NeurIPS 2019)

Learning-In-The-Loop Optimization: End-To-End Control And Co-Design of Soft Robots (NeurIPS 2019)

Authors: Andrew Spielberg, Allan Zhao, Tao Du, Yuanming Hu, Daniela Rus, Wojciech Matusik Soft robots have continuum solid ...

Human-in-the-loop Policy Learning PVP Video (NeurIPS 2023 Spotlight)

Human-in-the-loop Policy Learning PVP Video (NeurIPS 2023 Spotlight)

The video for paper: Learning from Active Human Involvement through Proxy Value Propagation (

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

NeurIPS

Enhancing Tactile-based Reinforcement Learning for Robotic Control (NeurIPS 2025)

Enhancing Tactile-based Reinforcement Learning for Robotic Control (NeurIPS 2025)

See project page for paper link, videos, blog post, code, and data: https://elle-miller.github.io/tactile_rl/ Authors: Elle Miller, Trevor ...

Michael Everett-Talk Title: Certifiable Learning Machines.

Michael Everett-Talk Title: Certifiable Learning Machines.

Talk Abstract: The talk will discuss the challenges of certifying the safety and robustness properties of machines that learn.

Should you study reinforcement learning?

Should you study reinforcement learning?

Get full access to podcasts, meetups, learning resources and programming activities for free on ...

Yann LeCun: Why RL is overrated | Lex Fridman Podcast Clips

Yann LeCun: Why RL is overrated | Lex Fridman Podcast Clips

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=5t1vTLU7s40 Please support this podcast by checking out ...

Design and Control of a Bipedal Robotic Character

Design and Control of a Bipedal Robotic Character

Legged robots have achieved impressive feats in dynamic locomotion in challenging unstructured terrain. However, in ...