Click to see Figures (Miro board)
2023, 2022, 2021, 2020, 2019, 2018, 2017
Diffusion-based Generation, Optimization, and Planning in 3D Scenes [Paper][Website] Siyuan Huang, Zan Wa.....Liang, Song-Chun Zhu
Learning Universal Policies via Text-Guided Video Generation [Paper][GitHub] Yilun Du, Mengjiao Y.....rmans, Pieter Abbeel
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners [Paper] Zhixuan Liang, Yao M.....i Tomizuka, Ping Luo
VIMA: General Robot Manipulation with Multimodal Prompts [Paper] Yunfan Jiang, Agrim ..... Yuke Zhu, Linxi Fan
Deep Hierarchical Planning from Pixels [Paper][Website][GitHub][Video] Danijar Hafner, Kuan.....scher, Pieter Abbeel
Efficient Planning in a Compact Latent Action Space [Paper][GitHub] Danijar Hafner, Kuan.....scher, Pieter Abbeel
Transformers are Sample Efficient World Models [Paper][Website][GitHub] Vincent Micheli, Elo.....o, François Fleuret
A Generalist Agent [Paper] Zhengyao Jiang, Tian.....tette, Yuandong Tian
Learning Space Partitions for Path Planning [Paper][GitHub] Kevin Yang, Tianjun .....Klein, Yuandong Tian
Toward Discovering Options that Achieve Faster Planning [Paper] Yi Wan, Richard S. Sutton
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning [Paper] Dhruv Shah, Peng Xu,.....Levine, Brian Ichter
Planning with Diffusion for Flexible Behavior Synthesis [Paper] Michael Janner, Yilu.....nbaum, Sergey Levine
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks [Paper][GitHub][Video] Zachary Ravichandran.....th, and Luca Carlone
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics [Paper][Website] Ivan Kapelyukh, Vita.....sylius, Edward Johns
Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation [Paper] João Carvalho, Mark.....en Urain, Jan Peters
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects [Paper] Weiyu Liu, Tucker He.....ernova, Chris Paxton
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers [Paper] Daniil Kirilenko, An..... Konstantin Yakovlev
LAD: Language Augmented Diffusion for Reinforcement Learning [Paper] Edwin Zhang, Yujie L..... Wang, and Amy Zhang
Is Conditional Generative Modeling all you need for Decision-Making [Paper][Website] Anurag Ajay, Yilun D.....kola, Pulkit Agrawal
Learning Neuro-Symbolic Skills for Bilevel Planning [Paper] Tom Silver, Ashay At.....eslie Pack Kaelbling
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning [Paper] Jan Achterhold, Mark.....mel, Joerg Stueckler
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances [Paper][Website][GitHub][Video] Michael Ahn, Anthony.....gyuan Yan, Andy Zeng
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics [Paper][Website][GitHub] Krishan Rana, Ming X.....rd, Niko Suenderhauf
TERP: Reliable Planning in Uneven Outdoor Environments using Deep Reinforcement Learning [Paper][Website] Kasun Weerakoon, Ada....., and Dinesh Manocha
Average-Reward Learning and Planning with Options [Paper] Yi Wan, Abhishek Naik, Richard S. Sutton
Decision Transformer: Reinforcement Learning via Sequence Modeling [Paper][GitHub] Lili Chen, Kevin Lu,.....nivas, Igor Mordatch
Discovering and Achieving Goals via World Models [Paper][Website] Russell Mendonca, Ol.....afner, Deepak Pathak
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay [Paper] Tianhong Dai, Hengya.....Anil Anthony Bharath
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks [Paper][Video] Sungryull Sohn, Sung..... Fatemi, Honglak Lee
Model-Based Reinforcement Learning via Latent-Space Collocation [Paper][Website] Oleh Rybkin, Chuning.....datch, Sergey Levine
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback [Paper][Website] Xiaofei Wang, Kimin .....beel, Michael Laskin
Learning Transferable Visual Models From Natural Language Supervision [Paper][GitHub] Alec Radford, Jong W.....eger, Ilya Sutskever
Skill Discovery for Exploration and Planning using Deep Skill Graphs [Paper] Akhil Bagaria, Jason.....il, George Konidaris
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input [Paper][Video] Danny Driess, Jung-S.....edrake, M. Toussaint
Learning to solve sequential physical reasoning problems from a scene image [Paper] Danny Driess, Jung-S....., and Marc Toussaint
Goal-Conditioned Reinforcement Learning with Imagined Subgoals [Paper][Website][Video] Elliot Chane-Sane, C..... Schmid, Ivan Laptev
World Model as a Graph: Learning Latent Landmarks for Planning [Paper][Website] Lunjun Zhang, Ge Yang, Bradly Stadie
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors [Paper][Website][GitHub][Video] Karl Pertsch, Oleh R.....raman, Sergey Levine
Sparse Graphical Memory for Robust Planning [Paper][Website] Scott Emmons, Ajay J.....bbeel, Deepak Pathak
Hallucinative Topological Memory for Zero-Shot Visual Planning [Paper][GitHub][Video] Kara Liu, Thanard Ku.....r Abbeel, Aviv Tamar
Planning to Explore via Self-Supervised World Models [Paper][GitHub] Ramanan Sekar, Oleh .....afner, Deepak Pathak
Generalized Hindsight for Reinforcement Learning [Paper][Website] Alexander C. Li, Ler.....Pinto, Pieter Abbeel
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning [Paper][Website] Avi Singh, Huihan Li.....ehart, Sergey Levine
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation [Paper][Website] Fei Xia, Chengshu Li.....hev, Silvio Savarese
Option Discovery using Deep Skill Chaining [Paper][Website] Akhil Bagaria, George Konidaris
Learning Robot Skills with Temporal Variational Inference [Paper] Tanmay Shankar, Abhinav Gupta
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs [Paper] Yifeng Zhu, Jonathan.....Birchfield, Yuke Zhu
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image [Paper] Danny Driess, Jung-Su Ha, Marc Toussaint
Accelerating Reinforcement Learning with Learned Skill Priors [Paper] Karl Pertsch Youngwoon Lee Joseph J. Lim
Dynamics-Aware Unsupervised Discovery of Skills [Paper][GitHub][Video] Archit Sharma, Shixi.....Kumar, Karol Hausman
Planning with Goal-Conditioned Policies [Paper][Website][GitHub] Soroush Nasiriany, V.....n Lin, Sergey Levine
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning [Paper][GitHub] Benjamin Eysenbach, .....dinov, Sergey Levine
Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals [Paper] Vikas Dhiman, Shurjo.....kind, Jason J. Corso
InfoBot: Transfer and Exploration via the Information Bottleneck [Paper] Anirudh Goyal, Riash.....engio, Sergey Levine
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs [Paper] Himanshu Sahni, Toby.....bbeel, Ilya Kuzovkin
Discovering Options for Exploration by Minimizing Cover Time [Paper] Yuu Jinnai, Jee Won .....el, George Konidaris
Successor Options: An Option Discovery Framework for Reinforcement Learning [Paper] Rahul Ramesh, Manan ..... Balaraman Ravindran
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation [Paper] Mayur J. Bency, Ahme.....eshi, Michael C. Yip
Semi-Parametric Topological Memory for Navigation [Paper][GitHub][Video] Nikolay Savinov, Ale.....skiy, Vladlen Koltun
Automatic Goal Generation for Reinforcement Learning Agents [Paper][Video] Carlos Florensa, Dav..... Geng, Pieter Abbeel
Finding Options that Minimize Planning Time [Paper] Yuu Jinnai, David Ab.....an, George Konidaris
Motion Planning Networks [Paper][Website] Ahmed H. Qureshi, An.....ency, Michael C. Yip
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning [Paper][Video] Marc Toussaint, Kels..... Smith, J. Tenenbaum
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning [Paper][GitHub] Michael Everett, Yu .....hen, Jonathan P. How
Robot Motion Planning in Learned Latent Spaces [Paper][GitHub] Brian Ichter, Marco Pavone
Cognitive Mapping and Planning for Visual Navigation [Paper][Website] Saurabh Gupta, Varun.....nkar, Jitendra Malik
Learning Sampling Distributions for Robot Motion Planning [Paper][GitHub] Brian Ichter, James .....rrison, Marco Pavone