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Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

Papers citing "Addressing Function Approximation Error in Actor-Critic Methods"

50 / 2,180 papers shown

Title
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System Ruining Zhang H. Han Maolong Lv Qisong Yang Jian Cheng OffRL 66 2 0 16 Dec 2023
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing Lyudong Jin Mingqi Tang Meng Zhang Hao Wang 60 3 0 16 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 80 10 0 15 Dec 2023
Risk-Aware Continuous Control with Neural Contextual Bandits J. Ayala-Romero A. Garcia-Saavedra Xavier Pérez Costa 35 3 0 15 Dec 2023
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations Cedric Derstroff Mattia Cerrato Jannis Brugger Jan Peters Stefan Kramer 16 0 0 15 Dec 2023
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation Girolamo Macaluso Alessandro Sestini Andrew D. Bagdanov OffRL OnRL 43 3 0 15 Dec 2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 71 0 0 15 Dec 2023
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents Dániel Horváth Jesús Bujalance Martín Ferenc Gàbor Erdos Z. Istenes Fabien Moutarde OffRL 55 1 0 14 Dec 2023
Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies Vicki Young Jumman Hossain Nirmalya Roy 51 1 0 13 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 154 5 0 13 Dec 2023
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms Manon Flageat Bryan Lim Antoine Cully OffRL 58 3 0 12 Dec 2023
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning Wei Geng Baidi Xiao Rongpeng Li Ning Wei Dong Wang Zhifeng Zhao 77 1 0 12 Dec 2023
A dynamical clipping approach with task feedback for Proximal Policy Optimization Ziqi Zhang Jingzehua Xu Zifeng Zhuang Jinxin Liu Donglin Wang Shuai Zhang 102 1 0 12 Dec 2023
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems Thomas Waite Alexander Robey Hassani Hamed George J. Pappas Radoslav Ivanov 52 2 0 11 Dec 2023
Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing Andrew Murdoch J. C. Schoeman H. W. Jordaan 82 2 0 11 Dec 2023
DiffAIL: Diffusion Adversarial Imitation Learning Bingzheng Wang Guoqiang Wu Teng Pang Yan Zhang Yilong Yin 92 12 0 11 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 75 2 0 11 Dec 2023
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning Maxence Faldor Félix Chalumeau Manon Flageat Antoine Cully 69 2 0 10 Dec 2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 79 1 0 10 Dec 2023
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 100 3 0 07 Dec 2023
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 93 3 0 06 Dec 2023
Pearl: A Production-ready Reinforcement Learning Agent Zheqing Zhu Rodrigo de Salvo Braz Jalaj Bhandari Daniel Jiang Yi Wan ... D. Korenkevych Ürün Dogan Frank Cheng Zheng Wu Wanqiao Xu VLM OffRL OnRL 120 7 0 06 Dec 2023
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment Ziyan Wang Yali Du Yudi Zhang Meng Fang Biwei Huang OffRL 77 4 0 06 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 113 6 0 06 Dec 2023
Learning active tactile perception through belief-space control J. Tremblay David Meger F. Hogan Gregory Dudek 86 2 0 30 Nov 2023
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning Jared Markowitz Jesse Silverberg Gary Collins OffRL 33 0 0 30 Nov 2023
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control Bernd Frauenknecht Tobias Ehlgen Sebastian Trimpe 85 4 0 30 Nov 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 59 0 0 29 Nov 2023
Goal-conditioned Offline Planning from Curious Exploration Marco Bagatella Georg Martius OffRL 70 1 0 28 Nov 2023
Two-step dynamic obstacle avoidance Fabian Hart Martin Waltz Ostap Okhrin 84 3 0 28 Nov 2023
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning Melrose Roderick Gaurav Manek Felix Berkenkamp J. Zico Kolter OffRL OnRL 124 0 0 25 Nov 2023
Learning to Fly in Seconds Jonas Eschmann Dario Albani Giuseppe Loianno 96 25 0 22 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control Rohan R. Paleja Letian Chen Yaru Niu Andrew Silva Zhaoxin Li ... K. Chang H. E. Tseng Yan Wang S. Nageshrao Matthew C. Gombolay 78 7 0 16 Nov 2023
A Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms Yuan Meng Michael Kinsner Deshanand Singh Mahesh Iyer Viktor Prasanna 43 2 0 15 Nov 2023
Supported Trust Region Optimization for Offline Reinforcement Learning Yongyi Mao Hongchang Zhang Chong Chen Yi Tian Xu Xiangyang Ji OffRL 105 16 0 15 Nov 2023
TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots Luca Lach Francesco Ferro R. Haschke 49 2 0 13 Nov 2023
Model-assisted Reinforcement Learning of a Quadrotor Arshad Javeed 77 0 0 12 Nov 2023
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV Beomyeol Yu Taeyoung Lee AI4CE 37 3 0 10 Nov 2023
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization Jared Markowitz Edward W. Staley OffRL 67 2 0 10 Nov 2023
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning Junmin Zhong Ruofan Wu Jennie Si OffRL 52 1 0 07 Nov 2023
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation Maxwell J. Jacobson Yexiang Xue 81 0 0 07 Nov 2023
A Novel Variational Lower Bound for Inverse Reinforcement Learning Yikang Gui Prashant Doshi 48 0 0 07 Nov 2023
Stable Modular Control via Contraction Theory for Reinforcement Learning Bing Song Jean-Jacques E. Slotine Quang Pham 100 2 0 07 Nov 2023
Imitation Bootstrapped Reinforcement Learning Hengyuan Hu Suvir Mirchandani Dorsa Sadigh 117 27 0 03 Nov 2023
Epidemic Decision-making System Based Federated Reinforcement Learning Yangxi Zhou Junping Du Zhe Xue Zhenhui Pan Weikang Chen 50 0 0 03 Nov 2023
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula Aryaman Reddi Maximilian Tölle Jan Peters Georgia Chalvatzaki Carlo DÉramo 66 7 0 03 Nov 2023
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning Bryan Chan Karime Pereida James Bergstra 83 1 0 02 Nov 2023
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Kai Yan Alex Schwing Yu-Xiong Wang OffRL 113 5 0 02 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 68 7 0 02 Nov 2023
Rethinking Decision Transformer via Hierarchical Reinforcement Learning Yi-An Ma Chenjun Xiao Hebin Liang Jianye Hao OffRL 75 8 0 01 Nov 2023