Distributional Reinforcement Learning for Efficient Exploration

Distributional Reinforcement Learning for Efficient Exploration

13 May 2019

Shangtong Zhang

Papers citing "Distributional Reinforcement Learning for Efficient Exploration"

18 / 18 papers shown

Title
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation Detian Chu Linyuan Bai Jianuo Huang Zhenlong Fang Peng Zhang Wei Kang Haifeng Lin 45 2 0 08 Jul 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning Lukas Schneider Jonas Frey Takahiro Miki Marco Hutter 32 9 0 25 Sep 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 43 0 0 03 Aug 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 33 4 0 12 Jun 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 24 3 0 04 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 38 1 0 03 Mar 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 38 4 0 28 Nov 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure Xing Chen Dongcui Diao Hechang Chen Hengshuai Yao Haiyin Piao Zhixiao Sun Zhiwei Yang Randy Goebel Bei Jiang Yi-Ju Chang OffRL 41 8 0 20 May 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning Cheng Liu E. Kampen Guido de Croon 34 16 0 28 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 40 132 0 23 Feb 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei Zhuoran Yang Yudong Chen Zhaoran Wang 41 46 0 06 Nov 2021
Autonomous Blimp Control using Deep Reinforcement Learning Y. Liu Eric Price Pascal Goldschmid Michael J. Black Aamir Ahmad AI4CE 32 3 0 22 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods Bo Zhou Kejiao Li Hongsheng Zeng Fan Wang Hao Tian OffRL 38 1 0 08 Sep 2021
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 32 34 0 12 Dec 2019
Deep Reinforcement Learning with Decorrelation B. Mavrin Hengshuai Yao Linglong Kong 34 8 0 18 Mar 2019