Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Roberto Calandra — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Roberto Calandra
22
papers ·
449
citations ·
31
h-index
Deutsche Telekom (Slovakia) · Centre for Tactile Internet with Human-in-the-Loop · Technische Universität Dresden
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
2018 · 185 citations
Learning Invariant Representations for Reinforcement Learning without Reconstruction
2020 · 97 citations
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
2021 · 33 citations
Objective Mismatch in Model-based Reinforcement Learning
2020 · 21 citations
MBMF: Model-Based Priors for Model-Free Reinforcement Learning
2017 · 20 citations
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
2021 · 15 citations
Learning to Play Table Tennis From Scratch using Muscular Robots
2020 · 11 citations
Plan2Vec: Unsupervised Representation Learning by Latent Plans
2020 · 6 citations
Investigating Compounding Prediction Errors in Learned Dynamics Models
2022 · 4 citations
Model-Invariant State Abstractions for Model-Based Reinforcement Learning
2021 · 3 citations
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback
2023 · 3 citations
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
2023 · 2 citations
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
2019 · 1 citations
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
2020 · 1 citations
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
2021 · 1 citations
Top co-authors
Nathan Lambert
· 5
Amy Zhang
· 4
Sergey Levine
· 4
Nathan O. Lambert
· 3
Brandon Amos
· 2
Joelle Pineau
· 2
Kurtland Chua
· 2
Luis Pineda
· 2
Rowan McAllister
· 2
Albert Wilcox
· 1
Alfredo Garcia
· 1
Andr\'e Biedenkapp
· 1
Topics
Model-Based RL
Value-Based
Safe RL
Offline RL
Exploration
Policy Gradient
Game AI
Meta-RL
Multi-Agent
RLHF & Alignment