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1510.09142
Cited By
Learning Continuous Control Policies by Stochastic Value Gradients
30 October 2015
N. Heess
Greg Wayne
David Silver
Timothy Lillicrap
Yuval Tassa
Tom Erez
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Papers citing
"Learning Continuous Control Policies by Stochastic Value Gradients"
50 / 337 papers shown
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Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
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Reparameterization Proximal Policy Optimization
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184
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08 Aug 2025
Test-time Offline Reinforcement Learning on Goal-related Experience
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Jonas Hübotter
Georg Martius
Andreas Krause
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24 Jul 2025
Relative Entropy Pathwise Policy Optimization
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Axel Brunnbauer
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Pieter Abbeel
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Radu Grosu
Amir-massoud Farahmand
Igor Gilitschenski
369
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15 Jul 2025
Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces
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A. Rupam Mahmood
Martha White
103
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AMOR: Adaptive Character Control through Multi-Objective Reinforcement Learning
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Agon Serifi
Ruben Grandia
David Müller
Espen Knoop
Moritz Bächer
268
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29 May 2025
Wasserstein Policy Optimization
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Ian Davies
Diana Borsa
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Brendan D. Tracey
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385
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01 May 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning
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Xinyan Cai
Bo Liu
Weidong Huang
Song-Chun Zhu
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248
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268
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355
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Vernon Luk
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418
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Guiding Reinforcement Learning with Incomplete System Dynamics
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Jingliang Duan
Nathan P. Lawrence
Philip D. Loewen
M. Forbes
R. Bhushan Gopaluni
Lixian Zhang
267
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Distribution Guided Active Feature Acquisition
Yang Li
Junier Oliva
282
1
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Online Control-Informed Learning
Zihao Liang
Tianyu Zhou
Zehui Lu
Shaoshuai Mou
367
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Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Neural Information Processing Systems (NeurIPS), 2024
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
358
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03 Oct 2024
Pessimistic Iterative Planning with RNNs for Robust POMDPs
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T. D. Simão
Steven Carr
M. Spaan
Ufuk Topcu
Nils Jansen
424
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A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
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Grace Liu
Michael Tang
Benjamin Eysenbach
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400
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11 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yuanyang Zhu
Zhi Wang
Yuanheng Zhu
Chunlin Chen
Dongbin Zhao
375
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01 Aug 2024
Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning
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Olivier Sigaud
Nicolas Thome
210
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Diffusion Spectral Representation for Reinforcement Learning
Dmitry Shribak
Chen-Xiao Gao
Yitong Li
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Bo Dai
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329
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Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
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Feng Ling
Sina Heydari
N. Heess
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Eva Kanso
239
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19 May 2024
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya A. Ramesh
Kenny Young
Louis Kirsch
Jürgen Schmidhuber
282
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06 May 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRL
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244
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31 Mar 2024
Robust Model Based Reinforcement Learning Using
L
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\mathcal{L}_1
L
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Adaptive Control
Minjun Sung
Sambhu H. Karumanchi
Aditya Gahlawat
N. Hovakimyan
222
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21 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Christian Lagemann
Urban Fasel
J. Nathan Kutz
Steven Brunton
AI4CE
311
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14 Mar 2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana
Sirui Li
Cathy Wu
Y. Farid
Kentaro Oguchi
163
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Do Transformer World Models Give Better Policy Gradients?
Michel Ma
Tianwei Ni
Clement Gehring
P. DÓro
Pierre-Luc Bacon
272
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Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Jiafei Lyu
Le Wan
Xiu Li
Zongqing Lu
CML
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300
2
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05 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
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Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
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325
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29 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL
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Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
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408
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17 Jan 2024
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe
A. Abdolmaleki
Sarah Bechtle
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Jost Tobias Springenberg
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Markus Wulfmeier
Jingwei Zhang
Francesco Nori
N. Heess
Martin Riedmiller
OffRL
199
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18 Dec 2023
A Tractable Inference Perspective of Offline RL
Neural Information Processing Systems (NeurIPS), 2023
Xuejie Liu
Hoang Trung-Dung
Karen Ullrich
Yitao Liang
OffRL
509
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31 Oct 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Neural Information Processing Systems (NeurIPS), 2023
Shenao Zhang
Boyi Liu
Zhaoran Wang
Tuo Zhao
275
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30 Oct 2023
On Representation Complexity of Model-based and Model-free Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Hanlin Zhu
Baihe Huang
Stuart Russell
OffRL
374
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03 Oct 2023
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned
Han Bao
Raphaël Jungers
Jean-Charles Delvenne
OffRL
193
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Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
313
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How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
Neural Information Processing Systems (NeurIPS), 2023
Hai Zhang
Hang Yu
Siyue Tao
Di Zhang
Chang Huang
Hongtu Zhou
Xiao Zhang
Chen Ye
305
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22 Sep 2023
A Review on Robot Manipulation Methods in Human-Robot Interactions
Haoxu Zhang
P. Kebria
Shady M. K. Mohamed
Samson Yu
Saeid Nahavandi
173
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Thinker: Learning to Plan and Act
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Ivan Anokhin
David M. Krueger
LLMAG
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294
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Meta-Value Learning: a General Framework for Learning with Learning Awareness
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Milad Aghajohari
Rameswar Panda
234
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Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Conference on Robot Learning (CoRL), 2023
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234
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Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
IEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023
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Yuan-Yan Tang
Qing Wu
Bo Wang
Chunlin Chen
Zhi Wang
339
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A. Allievi
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248
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λ
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λ
-models: Effective Decision-Aware Reinforcement Learning with Latent Models
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Romina Abachi
Igor Gilitschenski
Amir-massoud Farahmand
357
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Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Neural Information Processing Systems (NeurIPS), 2023
Alexander Meulemans
Simon Schug
Seijin Kobayashi
Nathaniel D. Daw
Gregory Wayne
365
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Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
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Niao He
Lijun Ding
Chaoyue Zhao
220
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Simplified Temporal Consistency Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Yi Zhao
Wenshuai Zhao
Rinu Boney
Arno Solin
Joni Pajarinen
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258
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294
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