Risk-Averse Bayes-Adaptive Reinforcement Learning

10 February 2021

Papers citing "Risk-Averse Bayes-Adaptive Reinforcement Learning"

24 / 24 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation Harry Mead Clarissa Costen Bruno Lacerda Nick Hawes 24 0 0 29 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Luu Anh Tuan Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning Félicien Hêche Biagio Nigro Oussama Barakat Stephan Robert-Nicoud OffRL 44 0 0 08 Jan 2025
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning Yizhe Huang Guy Van den Broeck Fanqi Kong Yaodong Yang Song-Chun Zhu Xue Feng 39 3 0 12 Jun 2024
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs Filippo Valdettaro A. Aldo Faisal OffRL 32 0 0 04 Jun 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification Prithvi Akella Anushri Dixit M. Ahmadi Lars Lindemann Margaret P. Chapman George J. Pappas Aaron D. Ames J. W. Burdick 37 5 0 27 Mar 2024
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion Taehyun Cho Seung Han Heesoo Lee Kyungjae Lee Jungwoo Lee 32 3 0 25 Oct 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 29 0 0 24 May 2023
Bayesian Risk-Averse Q-Learning with Streaming Observations Yuhao Wang Enlu Zhou OffRL 27 1 0 18 May 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes J. Hau Erick Delage Mohammad Ghavamzadeh Marek Petrik 16 8 0 24 Apr 2023
Decision-Making Under Uncertainty: Beyond Probabilities Thom S. Badings T. D. Simão Marnix Suilen N. Jansen UD PER 33 12 0 10 Mar 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 34 6 0 17 Feb 2023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning Marc Rigter Bruno Lacerda Nick Hawes OffRL 18 6 0 30 Nov 2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief Kaiyang Guo Yunfeng Shao Yanhui Geng OffRL 21 23 0 13 Oct 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying Xinning Zhou Hang Su Dong Yan Ning Chen Jun Zhu 24 41 0 09 Jun 2022
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty Hannes Eriksson D. Basu Mina Alibeigi Christos Dimitrakakis 16 4 0 18 Mar 2022
Two steps to risk sensitivity Christian Gagné Peter Dayan 28 9 0 12 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
Planning for Risk-Aversion and Expected Value in MDPs Marc Rigter Paul Duckworth Bo Li Shouhong Ding 11 10 0 25 Oct 2021
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 43 9 0 22 Oct 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 310 0 25 Dec 2020
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 73 312 0 06 Jun 2015