{"list":"other","total":87,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2203.11171","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","created":"2022-03-21","cited_by_count":5708},{"id":"1801.01290","title":"Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor","created":"2018-01-04","cited_by_count":4885},{"id":"2205.11916","title":"Large Language Models are Zero-Shot Reasoners","created":"2022-05-24","cited_by_count":4374},{"id":"1312.6114","title":"Auto-Encoding Variational Bayes","created":"2013-12-20","cited_by_count":4053},{"id":"2204.01691","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","created":"2022-04-04","cited_by_count":2348},{"id":"1912.01603","title":"Dream to Control: Learning Behaviors by Latent Imagination","created":"2019-12-03","cited_by_count":1653},{"id":"1803.10122","title":"World Models","created":"2018-03-27","cited_by_count":1513},{"id":"1811.04551","title":"Learning Latent Dynamics for Planning from Pixels","created":"2018-11-12","cited_by_count":1264},{"id":"2301.04104","title":"Mastering Diverse Domains through World Models","created":"2023-01-10","cited_by_count":1253},{"id":"2010.02193","title":"Mastering Atari with Discrete World Models","created":"2020-10-05","cited_by_count":1007},{"id":"1504.00702","title":"End-to-End Training of Deep Visuomotor Policies","created":"2015-04-02","cited_by_count":875},{"id":"2205.06175","title":"A Generalist Agent","created":"2022-05-12","cited_by_count":808},{"id":"1809.01999","title":"Recurrent World Models Facilitate Policy Evolution","created":"2018-09-04","cited_by_count":785},{"id":"2004.04136","title":"CURL: Contrastive Unsupervised Representations for Reinforcement Learning","created":"2020-04-08","cited_by_count":760},{"id":"1903.00374","title":"Model-Based Reinforcement Learning for Atari","created":"2019-03-01","cited_by_count":502},{"id":"1805.00909","title":"Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review","created":"2018-05-02","cited_by_count":482},{"id":"2206.14176","title":"DayDreamer: World Models for Physical Robot Learning","created":"2022-06-28","cited_by_count":400},{"id":"1810.09538","title":"Pyro: Deep Universal Probabilistic Programming","created":"2018-10-18","cited_by_count":380},{"id":"1604.00772","title":"The CMA Evolution Strategy: A Tutorial","created":"2016-04-04","cited_by_count":377},{"id":"1903.00450","title":"Multi-Object Representation Learning with Iterative Variational Inference","created":"2019-03-01","cited_by_count":360},{"id":"2004.05155","title":"Learning to Explore using Active Neural SLAM","created":"2020-04-10","cited_by_count":316},{"id":"1506.07365","title":"Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images","created":"2015-06-24","cited_by_count":274},{"id":"2102.02915","title":"How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned","created":"2021-02-04","cited_by_count":213},{"id":"1907.02057","title":"Benchmarking Model-Based Reinforcement Learning","created":"2019-07-03","cited_by_count":162},{"id":"1707.06203","title":"Imagination-Augmented Agents for Deep Reinforcement Learning","created":"2017-07-19","cited_by_count":140},{"id":"1709.08071","title":"Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems","created":"2017-09-23","cited_by_count":131},{"id":"1802.04181","title":"State Representation Learning for Control: An Overview","created":"2018-02-12","cited_by_count":127},{"id":"1905.13566","title":"Recent Advances in Imitation Learning from Observation","created":"2019-05-30","cited_by_count":93},{"id":"1907.00182","title":"Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges","created":"2019-06-29","cited_by_count":93},{"id":"1706.00400","title":"Learning Disentangled Representations with Semi-Supervised Deep Generative Models","created":"2017-06-01","cited_by_count":72},{"id":"2006.04176","title":"Deep active inference agents using Monte-Carlo methods","created":"2020-06-07","cited_by_count":72},{"id":"2006.07532","title":"Online Bayesian Goal Inference for Boundedly-Rational Planning Agents","created":"2020-06-13","cited_by_count":68},{"id":"2206.15477","title":"Denoised MDPs: Learning World Models Better Than the World Itself","created":"2022-06-30","cited_by_count":68},{"id":"1705.09156","title":"The free energy principle for action and perception: A mathematical review","created":"2017-05-24","cited_by_count":66},{"id":"2007.14535","title":"Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction","created":"2020-07-29","cited_by_count":66},{"id":"1705.00154","title":"Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary","created":"2017-04-29","cited_by_count":58},{"id":"2112.01871","title":"Active Inference in Robotics and Artificial Agents: Survey and Challenges","created":"2021-12-03","cited_by_count":52},{"id":"1702.08272","title":"A Dataset for Developing and Benchmarking Active Vision","created":"2017-02-27","cited_by_count":50},{"id":"2012.03405","title":"The Neural Coding Framework for Learning Generative Models","created":"2020-12-07","cited_by_count":44},{"id":"2006.12964","title":"On the Relationship Between Active Inference and Control as Inference","created":"2020-06-23","cited_by_count":42},{"id":"2201.03904","title":"pymdp: A Python library for active inference in discrete state spaces","created":"2022-01-11","cited_by_count":40},{"id":"1801.08829","title":"Symbol Emergence in Cognitive Developmental Systems: a Survey","created":"2018-01-26","cited_by_count":39},{"id":"2012.02419","title":"Planning from Pixels using Inverse Dynamics Models","created":"2020-12-04","cited_by_count":36},{"id":"2009.01791","title":"Action and Perception as Divergence Minimization","created":"2020-09-03","cited_by_count":32},{"id":"1509.08973","title":"Symbol Emergence in Robotics: A Survey","created":"2015-09-29","cited_by_count":31},{"id":"1911.10601","title":"Scaling active inference","created":"2019-11-24","cited_by_count":30},{"id":"2203.00494","title":"DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction","created":"2022-03-01","cited_by_count":29},{"id":"1610.09787","title":"Edward: A library for probabilistic modeling, inference, and criticism","created":"2016-10-31","cited_by_count":28},{"id":"2001.05847","title":"End-to-End Pixel-Based Deep Active Inference for Body Perception and Action","created":"2019-12-28","cited_by_count":24},{"id":"2003.00370","title":"PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference","created":"2020-03-01","cited_by_count":23},{"id":"2003.09712","title":"Understanding the Power and Limitations of Teaching with Imperfect Knowledge","created":"2020-03-21","cited_by_count":23},{"id":"2103.04412","title":"Multimodal VAE Active Inference Controller","created":"2021-03-07","cited_by_count":21},{"id":"2110.10083","title":"Contrastive Active Inference","created":"2021-10-19","cited_by_count":21},{"id":"1910.08918","title":"Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models","created":"2019-10-20","cited_by_count":20},{"id":"2009.03622","title":"Deep Active Inference for Partially Observable MDPs","created":"2020-09-08","cited_by_count":20},{"id":"2110.07448","title":"Human-robot collaboration and machine learning: a systematic review of recent research","created":"2021-10-14","cited_by_count":20},{"id":"2110.15949","title":"Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains","created":"2021-10-29","cited_by_count":18},{"id":"1903.01599","title":"Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future","created":"2019-03-05","cited_by_count":17},{"id":"1909.11173","title":"Active Goal Recognition","created":"2019-09-24","cited_by_count":16},{"id":"2204.05133","title":"On the link between conscious function and general intelligence in humans and machines","created":"2022-03-24","cited_by_count":16},{"id":"1712.00929","title":"SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model","created":"2017-12-04","cited_by_count":15},{"id":"2006.01959","title":"NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces","created":"2020-06-02","cited_by_count":15},{"id":"1906.11407","title":"Emergence of Exploratory Look-Around Behaviors through Active Observation Completion","created":"2019-06-27","cited_by_count":14},{"id":"1805.03104","title":"Adaptive robot body learning and estimation through predictive coding","created":"2018-05-08","cited_by_count":13},{"id":"2101.06611","title":"Predictive Processing in Cognitive Robotics: a Review","created":"2021-01-17","cited_by_count":13},{"id":"1905.12006","title":"Learning Portable Representations for High-Level Planning","created":"2019-05-28","cited_by_count":11},{"id":"2106.08422","title":"Imitation and Mirror Systems in Robots through Deep Modality Blending Networks","created":"2021-06-15","cited_by_count":11},{"id":"1909.07186","title":"How humans learn and represent networks","created":"2019-09-16","cited_by_count":10},{"id":"1711.03321","title":"A Separation Principle for Control in the Age of Deep Learning","created":"2017-11-09","cited_by_count":9},{"id":"1906.10015","title":"A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder","created":"2019-06-24","cited_by_count":8},{"id":"2209.01258","title":"Object-based active inference","created":"2022-09-02","cited_by_count":7},{"id":"1903.04932","title":"Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory","created":"2019-03-12","cited_by_count":6},{"id":"1909.03785","title":"Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects","created":"2019-09-09","cited_by_count":5},{"id":"2004.14878","title":"PreCNet: Next-Frame Video Prediction Based on Predictive Coding","created":"2020-04-30","cited_by_count":5},{"id":"2011.04485","title":"Robot in the mirror: toward an embodied computational model of mirror self-recognition","created":"2020-11-09","cited_by_count":5},{"id":"2109.07231","title":"SWEAT: Scoring Polarization of Topics across Different Corpora","created":"2021-09-15","cited_by_count":5},{"id":"1908.10125","title":"Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments","created":"2019-08-27","cited_by_count":4},{"id":"1909.00193","title":"Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures","created":"2019-08-31","cited_by_count":4},{"id":"2103.08183","title":"A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots","created":"2021-03-15","cited_by_count":4},{"id":"2105.09647","title":"Survey and Perspective on Social Emotions in Robotics","created":"2021-05-20","cited_by_count":2},{"id":"2106.10354","title":"High-level Features for Resource Economy and Fast Learning in Skill Transfer","created":"2021-06-18","cited_by_count":2},{"id":"2111.13027","title":"Toward an Idiomatic Framework for Cognitive Robotics","created":"2021-11-25","cited_by_count":2},{"id":"2210.09435","title":"Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy","created":"2022-10-17","cited_by_count":2},{"id":"2208.01021","title":"Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors","created":"2022-08-01","cited_by_count":1},{"id":"2208.13213","title":"The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference","created":"2022-08-28","cited_by_count":1}],"next_cursor":null}