Publications (31)
Internet Congestion Control via Deep Reinforcement Learning
Nathan Jay, Noga H. Rotman, P. Brighten Godfrey +2
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo, Eugen Solowjow, Chengtao Wen +4
A Machine Learning Approach to Routing
Asaf Valadarsky, Michael Schapira, Dafna Shahaf +1
Learning and Planning with a Semantic Model
Yi Wu, Yuxin Wu, Aviv Tamar +3
Value Iteration Networks
Aviv Tamar, Yi Wu, Garrett Thomas +2
Situational Awareness by Risk-Conscious Skills
Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
Learning from the Hindsight Plan -- Episodic MPC Improvement
Aviv Tamar, Garrett Thomas, Tianhao Zhang +2
Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar +1
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes
Aviv Tamar, Dotan Di Castro, Shie Mannor
Situationally Aware Options
Daniel J. Mankowitz, Aviv Tamar, Shie Mannor
Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization
Tom Jurgenson, Edward Groshev, Aviv Tamar
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro, Aviv Tamar, Shie Mannor
Safer Classification by Synthesis
William Wang, Angelina Wang, Aviv Tamar +2
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach, Ignasi Clavera, Yan Duan +2
Bayesian Reinforcement Learning: A Survey
Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau +1
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang +2
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
Domain Randomization for Active Pose Estimation
Xinyi Ren, Jianlan Luo, Eugen Solowjow +4
Shallow Updates for Deep Reinforcement Learning
Nir Levine, Tom Zahavy, Daniel J. Mankowitz +2
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh +1
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, Kara Liu +2
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
Dror Freirich, Ron Meir, Aviv Tamar
Optimizing the CVaR via Sampling
Aviv Tamar, Yonatan Glassner, Shie Mannor
Harnessing Reinforcement Learning for Neural Motion Planning
Tom Jurgenson, Aviv Tamar
Learning Robotic Assembly from CAD
Garrett Thomas, Melissa Chien, Aviv Tamar +2
Emphatic TD Bellman Operator is a Contraction
Assaf Hallak, Aviv Tamar, Shie Mannor
Learning Generalized Reactive Policies using Deep Neural Networks
Edward Groshev, Maxwell Goldstein, Aviv Tamar +2
Scaling Up Robust MDPs by Reinforcement Learning
Aviv Tamar, Huan Xu, Shie Mannor
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis
Assaf Hallak, Aviv Tamar, Remi Munos +1
Implicit Temporal Differences
Aviv Tamar, Panos Toulis, Shie Mannor +1
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian, Aviv Tamar, Sarit Kraus