Quantifying Generalization in Reinforcement Learning

6 December 2018

Papers citing "Quantifying Generalization in Reinforcement Learning"

50 / 396 papers shown

Title
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 48 4 0 25 Jun 2024
QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds Ye Wang Yuting Mei Sipeng Zheng Qin Jin LRM 40 2 0 24 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 26 0 0 20 Jun 2024
Pandora: Towards General World Model with Natural Language Actions and Video States Jiannan Xiang Guangyi Liu Yi Gu Qiyue Gao Yuting Ning ... Shibo Hao Yemin Shi Zhengzhong Liu Eric P. Xing Zhiting Hu VGen 62 36 0 12 Jun 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning Max Weltevrede Felix Kaubek M. Spaan Wendelin Bohmer 57 0 0 12 Jun 2024
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models Shreyas Basavatia K. Murugesan Shivam Ratnakar SyDa AI4CE 28 6 0 09 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 31 7 0 06 Jun 2024
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov Yaswanth Chittepu Ryan Park Harshit S. Sikchi Joey Hejna Bradley Knox Chelsea Finn S. Niekum 58 51 0 05 Jun 2024
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning Ricardo B. Grando Raul Steinmetz V. A. Kich A. H. Kolling Pablo M. Furik J. C. Jesus Bruna V. Guterres D. T. Gamarra R. S. Guerra Paulo L. J. Drews-Jr 43 5 0 04 Jun 2024
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment Chen Zhang Qiang He Zhou Yuan Elvis S. Liu Hong Wang Jian Zhao Yang-Feng Wang 31 1 0 03 Jun 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning Arthur Juliani Jordan T. Ash OffRL OnRL CLL 47 5 0 29 May 2024
Causal Action Influence Aware Counterfactual Data Augmentation Núria Armengol Urpí Marco Bagatella Marin Vlastelica Georg Martius CML 35 5 0 29 May 2024
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning Abdulaziz Almuzairee Nicklas Hansen Henrik I. Christensen 48 7 0 27 May 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 38 1 0 27 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search Max Liu Chan-Hung Yu Wei-Hsu Lee Cheng-Wei Hung Yen-Chun Chen Shao-Hua Sun 55 4 0 26 May 2024
Imitation Learning: A Survey of Learning Methods, Environments and Metrics Nathan Gavenski Odinaldo Rodrigues Michael Luck 35 167 0 30 Apr 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 54 3 0 29 Apr 2024
Federated reinforcement learning for robot motion planning with zero-shot generalization Zhenyuan Yuan Siyuan Xu Minghui Zhu FedML 40 1 0 20 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 48 0 0 12 Mar 2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning Vindula Jayawardana Sirui Li Cathy Wu Y. Farid Kentaro Oguchi 28 3 0 07 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 36 0 0 29 Feb 2024
Cooperation and Control in Delegation Games Oliver Sourbut Lewis Hammond Harriet Wood 27 0 0 24 Feb 2024
Revisiting Data Augmentation in Deep Reinforcement Learning Jianshu Hu Yunpeng Jiang Paul Weng OffRL 37 6 0 19 Feb 2024
The Reasons that Agents Act: Intention and Instrumental Goals Francis Rhys Ward Matt MacDermott Francesco Belardinelli Francesca Toni Tom Everitt AI4CE 29 12 0 11 Feb 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control Zheng Xiong Risto Vuorio Jacob Beck Matthieu Zimmer Kun Shao Shimon Whiteson 39 1 0 09 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 33 2 0 07 Feb 2024
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 35 7 0 05 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 41 2 0 05 Feb 2024
Transfer Learning under Covariate Shift: Local $k$ -Nearest Neighbours Regression with Heavy-Tailed Design Petr Zamolodtchikov Hanyuan Hang OOD 15 0 0 21 Jan 2024
Visual Imitation Learning with Calibrated Contrastive Representation Yunke Wang Linwei Tao Bo Du Yutian Lin Chang Xu 28 0 0 21 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 35 14 0 20 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 55 18 0 11 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 32 2 0 04 Jan 2024
Generalizable Visual Reinforcement Learning with Segment Anything Model Ziyu Wang Yanjie Ze Yifei Sun Zhecheng Yuan Huazhe Xu VLM 33 8 0 28 Dec 2023
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin G. Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 32 8 0 23 Dec 2023
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 34 31 0 17 Dec 2023
Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning Rohan Banerjee Prishita Ray Mark Campbell 19 2 0 16 Dec 2023
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System Ruining Zhang H. Han Maolong Lv Qisong Yang Jian Cheng OffRL 31 2 0 16 Dec 2023
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 89 10 0 10 Dec 2023
Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines Yu-An Lin Chen-Tao Lee Guanhui. Liu Pu-Jen Cheng Shao-Hua Sun 27 0 0 27 Nov 2023
C-Procgen: Empowering Procgen with Controllable Contexts Zhenxiong Tan Kaixin Wang Xinchao Wang 40 0 0 13 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns Zach Witzel Jubayer Ibn Hamid Tianhe Yu Chelsea Finn Karol Hausman OOD SSL 32 23 0 03 Nov 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 26 10 0 25 Oct 2023
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models Emmanuel Klu Sameer Sethi DJ Passey Donald Martin AI4CE SyDa 31 0 0 19 Oct 2023
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning Samuel Garcin James Doran Shangmin Guo Christopher G. Lucas Stefano V. Albrecht 46 0 0 05 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 33 0 0 02 Oct 2023
CoinRun: Solving Goal Misgeneralisation Stuart Armstrong Alexandre Maranhao Oliver Daniels-Koch Ioannis Gkioulekas Rebecca Gormann LRM 35 0 0 28 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 47 0 0 08 Sep 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO Yangkun Chen Joseph Suárez Junjie Zhang Chenghui Yu Bo Wu ... Sharada Mohanty Jiaxin Chen Xiu Li Xiaolong Zhu Phillip Isola 32 0 0 30 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023