← Authors

Aviv Tamar

42 papers · 2012–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (161) πŸ’Ž Century Club (42) πŸ”₯ Unstoppable (14) πŸ“ˆ Trend Setter

Conferences

ICML (14) NIPS (9) ICLR (5) CORL (3) CVPR (2) IJCAI (2) JMLR (2) RSS (2) AAAI (1) ICCV (1) NSDI (1)

Top co-authors

Pieter Abbeel (7) Shie Mannor (7) Tom Jurgenson (5) Thanard Kurutach (4) Tal Daniel (4) Yi Wu (4) Dotan Di Castro (3) Yinlam Chow (3) Orr Krupnik (3) Ev Zisselman (3)

Keywords

reinforcement learning (7) generative model (5) variational autoencoder (4) policy gradient (4) deep reinforcement learning (4) value iteration (3) visual planning (3) self-supervised learning (2) bayesian reinforcement learning (2) supervised learning (2) representation learning (2) offline reinforcement learning (2) meta learning (2) function approximation (2) temporal difference learning (2) motion planning (2) density estimation (2) contrastive learning (2) zero-shot learning (2) unsupervised learning (2)

Papers

A Classification View on Meta Learning Bandits ICML 2025
EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation ICLR 2025
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels ICLR 2024
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024
A Bayesian Approach to Online Planning ICML 2024
Test-Time Regret Minimization in Meta Reinforcement Learning ICML 2024
ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023
Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model CORL 2023
DOTE: Rethinking (Predictive) WAN Traffic Engineering NSDI 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023
Explore to Generalize in Zero-Shot RL NIPS 2023
Learning Control by Iterative Inversion ICML 2023
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks CORL 2023
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability AAAI 2022
Unsupervised Image Representation Learning with Deep Latent Particles ICML 2022
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NIPS 2021
Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020
Deep Residual Flow for Out of Distribution Detection CVPR 2020
Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020
Learning Robotic Manipulation through Visual Planning and Acting RSS 2019
Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019
Bayesian Relational Memory for Semantic Visual Navigation ICCV 2019
A Deep Reinforcement Learning Perspective on Internet Congestion Control ICML 2019
Multi-Agent Reinforcement Learning with Multi-Step Generative Models CORL 2019
Model-Ensemble Trust-Region Policy Optimization ICLR 2018
Learning Plannable Representations with Causal InfoGAN NIPS 2018
Imitation Learning from Visual Data with Multiple Intentions ICLR 2018
Constrained Policy Optimization ICML 2017
Value Iteration Networks IJCAI 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NIPS 2017
Shallow Updates for Deep Reinforcement Learning NIPS 2017
Learning the Variance of the Reward-To-Go JMLR 2016
Value Iteration Networks NIPS 2016
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NIPS 2015
Policy Gradient for Coherent Risk Measures NIPS 2015
Scaling Up Robust MDPs using Function Approximation ICML 2014
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012