MR
Martin Riedmiller
cs.LGcs.ROcs.AIstat.MLcs.NEcs.CVModels, Neurologicalphysics.plasm-phArtificial Intelligenceastro-ph.IM
On Valency
published · living versionsW_k98pvudy·v1 · currentpublished
Playing Atari with Deep Reinforcement Learning
with Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves +2
1 version
Preprints & journals
72 papers in the corpus · 2008–2025NFQ2.0: The CartPole Benchmark Revisited2511.12644v1 · Sascha Lange, Roland Hafner, Martin Riedmiller2025 · 0 citationsarXiv
Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping.40906851 · Buchli, Jonas, Tracey, Brendan, Andric, Tomislav et al.2025 · 10 citationsScience (New York, N.Y.). 2025;389(6764):1012-1015
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement2507.06701v1 · Michael Bloesch, Markus Wulfmeier, Philemon Brakel et al.2025 · 0 citationsarXiv
Learning from negative feedback, or positive feedback or both2410.04166v3 · Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.2024 · 0 citationsarXiv
DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots2409.06613v2 · Maria Bauza, Jose Enrique Chen, Valentin Dalibard et al.2024 · 3 citationsarXiv
Game On: Towards Language Models as RL Experimenters2409.03402v1 · Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki et al.2024 · 0 citationsarXiv
Imitating Language via Scalable Inverse Reinforcement Learning2409.01369v2 · Markus Wulfmeier, Michael Bloesch, Nino Vieillard et al.2024 · 1 citationarXiv
TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX2406.06718v4 · Jonathan Citrin, Ian Goodfellow, Akhil Raju et al.2024 · 11 citationsarXiv
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning2405.02425v1 · Dhruva Tirumala, Markus Wulfmeier, Ben Moran et al.2024 · 3 citationsarXiv
Offline Actor-Critic Reinforcement Learning Scales to Large Models2402.05546v1 · Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang et al.2024 · 4 citationsarXiv
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning2402.06102v1 · Mohak Bhardwaj, Thomas Lampe, Michael Neunert et al.2024 · 1 citationarXiv
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots2312.11374v1 · Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle et al.2023 · 3 citationsarXiv
Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning2312.09120v2 · Martin Riedmiller, Andrea Gesmundo, Tim Hertweck et al.2023 · 0 citationsarXiv
Replay across Experiments: A Natural Extension of Off-Policy RL2311.15951v2 · Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen et al.2023 · 2 citationsarXiv
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning2309.07578v1 · Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier et al.2023 · 0 citationsarXiv
Policy composition in reinforcement learning via multi-objective policy optimization2308.15470v2 · Shruti Mishra, Ankit Anand, Jordan Hoffmann et al.2023 · 0 citationsarXiv
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World2308.07741v3 · Nico Gurtler, Felix Widmaier, Cansu Sancaktar et al.2023 · 1 citationarXiv
Towards practical reinforcement learning for tokamak magnetic control2307.11546v2 · Brendan D. Tracey, Andrea Michi, Yuri Chervonyi et al.2023 · 19 citationsarXiv
Towards A Unified Agent with Foundation Models2307.09668v1 · Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever et al.2023 · 16 citationsarXiv
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation2306.11706v2 · Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao et al.2023 · 13 citationsarXiv
Faster sorting algorithms discovered using deep reinforcement learning.37286649 · Mankowitz, Daniel J, Michi, Andrea, Zhernov, Anton et al.2023 · 177 citationsNature. 2023;618(7964):257-263
A Generalist Dynamics Model for Control2305.10912v2 · Ingmar Schubert, Jingwei Zhang, Jake Bruce et al.2023 · 5 citationsarXiv
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains2302.12617v1 · Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan et al.2023 · 1 citationarXiv
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration2211.13743v3 · Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier et al.2022 · 1 citationarXiv
Solving Continuous Control via Q-learning2210.12566v2 · Tim Seyde, Peter Werner, Wilko Schwarting et al.2022 · 7 citationsarXiv
MO2: Model-Based Offline Options2209.01947v1 · Sasha Salter, Markus Wulfmeier, Dhruva Tirumala et al.2022 · 0 citationsarXiv
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach2204.10256v2 · Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan et al.2022 · 0 citationsarXiv
Magnetic control of tokamak plasmas through deep reinforcement learning.35173339 · Degrave, Jonas, Felici, Federico, Buchli, Jonas et al.2022 · 749 citationsNature. 2022;602(7897):414-419
The Challenges of Exploration for Offline Reinforcement Learning2201.11861v2 · Nathan Lambert, Markus Wulfmeier, William Whitney et al.2022 · 7 citationsarXiv
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies2111.02552v1 · Tim Seyde, Igor Gilitschenski, Wilko Schwarting et al.2021 · 20 citationsarXiv
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes2110.06192v2 · Alex X. Lee, Coline Devin, Yuxiang Zhou et al.2021 · 41 citationsarXiv
Evaluating model-based planning and planner amortization for continuous control2110.03363v1 · Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim et al.2021 · 1 citationarXiv
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration2109.08603v1 · Oliver Groth, Markus Wulfmeier, Giulia Vezzani et al.2021 · 7 citationsarXiv
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning2108.10273v1 · Martin Riedmiller, Jost Tobias Springenberg, Roland Hafner et al.2021 · 4 citationsarXiv
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning2106.08199v2 · Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani et al.2021 · 3 citationsarXiv
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning2101.09458v2 · William F. Whitney, Michael Bloesch, Jost Tobias Springenberg et al.2021 · 3 citationsarXiv
Representation Matters: Improving Perception and Exploration for Robotics2011.01758v2 · Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck et al.2020 · 13 citationsarXiv
"What, not how": Solving an under-actuated insertion task from scratch2010.15492v2 · Giulia Vezzani, Michael Neunert, Markus Wulfmeier et al.2020 · 1 citationarXiv
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification2010.10644v4 · Daniel J. Mankowitz, Dan A. Calian, Rae Jeong et al.2020 · 5 citationsarXiv
Local Search for Policy Iteration in Continuous Control2010.05545v1 · Jost Tobias Springenberg, Nicolas Heess, Daniel Mankowitz et al.2020 · 6 citationsarXiv
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion2008.12228v1 · Roland Hafner, Tim Hertweck, Philipp Kloppner et al.2020 · 9 citationsarXiv
Data-efficient Hindsight Off-policy Option Learning2007.15588v2 · Markus Wulfmeier, Dushyant Rao, Roland Hafner et al.2020 · 20 citationsarXiv
A Distributional View on Multi-Objective Policy Optimization2005.07513v1 · Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever et al.2020 · 44 citationsarXiv
Simple Sensor Intentions for Exploration2005.07541v1 · Tim Hertweck, Martin Riedmiller, Michael Bloesch et al.2020 · 4 citationsarXiv
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning2002.08396v3 · Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp et al.2020 · 48 citationsICLR 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics2001.00449v1 · Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier et al.2020 · 68 citationsarXiv
Quinoa: a Q-function You Infer Normalized Over Actions1911.01831v1 · Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg et al.2019 · 4 citationsarXiv
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models1910.04142v1 · Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki et al.2019 · 10 citationsarXiv
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control1909.12238v1 · H. Francis Song, Abbas Abdolmaleki, Jost Tobias Springenberg et al.2019 · 56 citationsarXiv
Compositional Transfer in Hierarchical Reinforcement Learning1906.11228v3 · Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner et al.2019 · 24 citationsarXiv
Career total: 202 works. 72 are in this corpus.Showing the 50 most recent.
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