Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 504 papers shown

Title
UniWorld: Autonomous Driving Pre-training via World Models Chen Min Dawei Zhao Liang Xiao Yiming Nie Bin Dai VGen 39 22 0 14 Aug 2023
Bayesian Inverse Transition Learning for Offline Settings Leo Benac S. Parbhoo Finale Doshi-Velez OffRL 16 0 0 09 Aug 2023
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE Yusuke Kato Ryogo Okumura T. Taniguchi DRL 27 1 0 04 Aug 2023
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges Giorgio Franceschelli Mirco Musolesi AI4CE 40 20 0 31 Jul 2023
Learning to Model the World with Language Jessy Lin Yuqing Du Olivia Watkins Danijar Hafner Pieter Abbeel Dan Klein Anca Dragan LM&Ro SyDa 38 51 0 31 Jul 2023
Thinker: Learning to Plan and Act Stephen Chung Ivan Anokhin David M. Krueger LLMAG OffRL LRM 30 5 0 27 Jul 2023
Approximate Model-Based Shielding for Safe Reinforcement Learning Alexander W. Goodall Francesco Belardinelli 16 0 0 27 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng Junyeong Park Sungjin Ahn 32 24 0 05 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning Xiang Li Varun Belagali Jinghuan Shang Michael S. Ryoo 40 28 0 04 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 64 264 0 29 Jun 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 23 11 0 28 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H.J. Terry Suh Glen Chou Hongkai Dai Lujie Yang Abhishek Gupta Russ Tedrake DiffM OffRL 39 7 0 24 Jun 2023
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping Yining Li Peizhong Ju Ness B. Shroff 31 0 0 22 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 31 7 0 20 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 29 10 0 15 Jun 2023
Reward-Free Curricula for Training Robust World Models Marc Rigter Minqi Jiang Ingmar Posner VLM OffRL 39 6 0 15 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 34 1 0 15 Jun 2023
Approximate information state based convergence analysis of recurrent Q-learning Erfan Seyedsalehi N. Akbarzadeh Amit Sinha Aditya Mahajan 27 6 0 09 Jun 2023
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel Kaixin Wang Uri Gadot Navdeep Kumar Kfir Y. Levy Shie Mannor 34 2 0 09 Jun 2023
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control Rohan Chitnis Yingchen Xu B. Hashemi Lucas Lehnert Ürün Dogan Zheqing Zhu Olivier Delalleau OffRL 31 9 0 01 Jun 2023
What model does MuZero learn? Jinke He Thomas M. Moerland F. Oliehoek 33 4 0 01 Jun 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 34 25 0 29 May 2023
Reasoning with Language Model is Planning with World Model Shibo Hao Yi Gu Haodi Ma Joshua Jiahua Hong Zhen Wang D. Wang Zhiting Hu ReLM LRM LLMAG 68 519 0 24 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 30 5 0 24 May 2023
Co-Learning Empirical Games and World Models Max O. Smith Michael P. Wellman 24 2 0 23 May 2023
Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning Manuel Rios Nicanor Quijano Luis Felipe Giraldo 31 1 0 19 May 2023
A Generalist Dynamics Model for Control Ingmar Schubert Jingwei Zhang Jake Bruce Sarah Bechtle Emilio Parisotto Martin Riedmiller Jost Tobias Springenberg Arunkumar Byravan Leonard Hasenclever N. Heess AI4CE 41 28 0 18 May 2023
Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang Tianhua Tao Yi Gu Tianmin Shu Zirui Wang Zichao Yang Zhiting Hu ALM LLMAG LM&Ro CLL 36 94 0 18 May 2023
Posterior Sampling for Deep Reinforcement Learning Remo Sasso Michelangelo Conserva Paulo E. Rauber OffRL BDL 37 6 0 30 Apr 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 24 2 0 28 Apr 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 37 20 0 25 Apr 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 27 2 0 21 Apr 2023
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning Ruoqing Zhang Per Mattsson T. Wigren 27 0 0 20 Apr 2023
Neuromorphic computing for attitude estimation onboard quadrotors S. Stroobants Julien Dupeyroux Guido C. H. E de Croon 38 4 0 18 Apr 2023
Model Predictive Control with Self-supervised Representation Learning Jonas A. Matthies Muhammad Burhan Hafez Mostafa Kotb S. Wermter SSL 13 0 0 14 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 28 220 0 11 Apr 2023
End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning Fangping Xie P. Meur C. Fernando 14 1 0 06 Apr 2023
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions Chen Feng Tsai Xiaochen Zhou Sierra S. Liu Jing Li Mo Yu Hongyuan Mei LLMAG ELM AI4MH LM&MA 11 30 0 06 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 24 44 0 31 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Xiangming Zhu Yitao Zheng Yunbo Wang Xiaokang Yang 31 0 0 27 Mar 2023
Persistent Nature: A Generative Model of Unbounded 3D Worlds Lucy Chai Richard Tucker Zhengqi Li Phillip Isola Noah Snavely VGen 26 30 0 23 Mar 2023
InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views Mai Nishimura S. Nobuhara Ko Nishino EgoV ViT 42 0 0 16 Mar 2023
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward? Christo Kurisummoottil Thomas Walid Saad 29 4 0 14 Mar 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 23 3 0 13 Mar 2023
Transformer-based World Models Are Happy With 100k Interactions Jan Robine Marc Höftmann Tobias Uelwer Stefan Harmeling OffRL 27 71 0 13 Mar 2023
Predictive Experience Replay for Continual Visual Control and Forecasting Wendong Zhang Geng Chen Xiangming Zhu Siyu Gao Yunbo Wang Xiaokang Yang CLL 55 3 0 12 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 37 3 0 07 Mar 2023
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction Zhejun Zhang Alexander Liniger Dengxin Dai Feng Yu Luc Van Gool 82 42 0 07 Mar 2023