Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,243 papers shown

Title
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution Senne Deproost Denis Steckelmacher Ann Nowé 41 0 0 29 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 44 0 0 27 Oct 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 41 1 0 27 Oct 2024
MILES: Making Imitation Learning Easy with Self-Supervision Georgios Papagiannis Edward Johns VLM SSL 55 5 0 25 Oct 2024
Reinforcement Learning Controllers for Soft Robots using Learned Environments Uljad Berdica Matthew Jackson Niccolò Enrico Veronese Jakob Foerster Perla Maiolino DRL 16 1 0 24 Oct 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 41 0 0 24 Oct 2024
CARLA2Real: a tool for reducing the sim2real gap in CARLA simulator Stefanos Pasios Nikos Nikolaidis 49 1 0 23 Oct 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 85 6 0 23 Oct 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning Dongsu Lee Minhae Kwon 31 1 0 22 Oct 2024
Safe Load Balancing in Software-Defined-Networking L. Dinh Pham Tran Anh Quang Jérémie Leguay 34 0 0 22 Oct 2024
Augmented Lagrangian-Based Safe Reinforcement Learning Approach for Distribution System Volt/VAR Control Guibin Chen OffRL 21 0 0 19 Oct 2024
GUIDE: Real-Time Human-Shaped Agents Lingyu Zhang Zhengran Ji Nicholas R Waytowich Boyuan Chen 39 2 0 19 Oct 2024
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing Zhichao Wang Xinhai Chen Chunye Gong Bo Yang Liang Deng Yufei Sun Yufei Pang Jie Liu AI4CE 35 0 0 19 Oct 2024
Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution Zijie Zhao Roy E. Welsch AIFin 15 1 0 19 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 36 0 0 19 Oct 2024
Online Reinforcement Learning with Passive Memory Anay Pattanaik Lav R. Varshney CLL OffRL 28 0 0 18 Oct 2024
Streaming Deep Reinforcement Learning Finally Works Mohamed Elsayed Gautham Vasan A. R. Mahmood OffRL 54 4 0 18 Oct 2024
Deep Reinforcement Learning for Online Optimal Execution Strategies Alessandro Micheli Mélodie Monod OffRL 21 0 0 17 Oct 2024
Novelty-based Sample Reuse for Continuous Robotics Control Ke Duan Kai Yang Houde Liu Xueqian Wang 35 0 0 17 Oct 2024
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation Shivam Vats Devesh K. Jha Maxim Likhachev Oliver Kroemer Diego Romeres OffRL 38 0 0 17 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 26 0 0 16 Oct 2024
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning Ng Wen Zheng Terence Chen Jianda 26 0 0 16 Oct 2024
The State of Robot Motion Generation Kostas E. Bekris Joe H. Doerr Patrick Meng Sumanth Tangirala 3DV 41 2 0 16 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 27 0 0 16 Oct 2024
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions Ayush Jain Norio Kosaka Xinhu Li Kyung-Min Kim Erdem Bıyık Joseph J. Lim OffRL 21 0 0 15 Oct 2024
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach Emmanuel Gnabeyeu Omar Karkar Imad Idboufous 31 0 0 15 Oct 2024
Exploiting Risk-Aversion and Size-dependent fees in FX Trading with Fitted Natural Actor-Critic Vito Alessandro Monaco Antonio Riva Luca Sabbioni L. Bisi Edoardo Vittori Marco Pinciroli Michele Trapletti Marcello Restelli 14 0 0 15 Oct 2024
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space Rajesh Mangannavar Gopalakrishnan Srinivasaraghavan 25 2 0 15 Oct 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning Harley Wiltzer Marc G. Bellemare David Meger Patrick Shafto Yash Jhaveri 34 1 0 14 Oct 2024
Large Language Model Evaluation via Matrix Nuclear-Norm Heng Chang Tingyu Xia Yi-Ju Chang Yuan Wu 37 1 0 14 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 78 7 0 13 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 37 0 0 12 Oct 2024
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment C. Voelcker Marcel Hussing Eric Eaton OffRL 31 3 0 11 Oct 2024
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 46 2 0 11 Oct 2024
POSEIDON : Efficient Function Placement at the Edge using Deep Reinforcement Learning Prakhar Jain Prakhar Singhal Divyansh Pandey Giovanni Quatrocchi Karthik Vaidhyanathan 26 0 0 10 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Rameswar Panda L. Pan 44 3 0 10 Oct 2024
Deep End-to-End Survival Analysis with Temporal Consistency Mariana Vargas Vieyra Pascal Frossard 21 0 0 09 Oct 2024
Learning in complex action spaces without policy gradients Arash Tavakoli Sina Ghiassian Nemanja Rakićević OffRL 34 0 0 08 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 45 0 0 07 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 43 1 0 07 Oct 2024
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Zhaolin Gao Wenhao Zhan Jonathan D. Chang Gokul Swamy Kianté Brantley Jason D. Lee Wen Sun OffRL 78 3 0 06 Oct 2024
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients Gabriel Chenevert Jingqi Li Achyuta kannan S. Bae Donggun Lee 30 2 0 03 Oct 2024
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments Vasanth Reddy Baddam Suat Gumussoy Almuatazbellah Boker Hoda Eldardiry OffRL AI4CE 26 0 0 03 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge Xiefeng Wu OffRL 34 1 0 02 Oct 2024
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics Yutian Zhang Guohong Zheng Zhiyuan Liu Quan Li Haipeng Zeng 45 2 0 02 Oct 2024
Sampling from Energy-based Policies using Diffusion V. Jain Tara Akhound-Sadegh Siamak Ravanbakhsh DiffM 53 1 0 02 Oct 2024
Dual Approximation Policy Optimization Zhihan Xiong Maryam Fazel Lin Xiao 38 1 0 02 Oct 2024
Enabling Multi-Robot Collaboration from Single-Human Guidance Zhengran Ji Lingyu Zhang Paul Sajda Boyuan Chen 42 1 0 30 Sep 2024
Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning Shreyas Muthusamy Damian Owerko Charilaos I. Kanatsoulis Saurav Agarwal Alejandro Ribeiro 31 1 0 29 Sep 2024