conftrace_

dynamics model

67 papers

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Co-occurring keywords

model-based reinforcement learning (415) offline reinforcement learning (492) sample efficiency (472) reinforcement learning (4352) deep reinforcement learning (903) world model (189) value function (295) policy learning (702) uncertainty quantification (1393) policy optimization (657)

Papers

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CORL 2020
Objective Mismatch in Model-based Reinforcement Learning L4DC 2020
Goal-Aware Prediction: Learning to Model What Matters ICML 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020
Regularizing Model-Based Planning with Energy-Based Models CORL 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019
Asynchronous Methods for Model-Based Reinforcement Learning CORL 2019
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Learning the Reward Function for a Misspecified Model ICML 2018
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017
Learning Robotic Manipulation of Granular Media CORL 2017
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NIPS 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Online Feature Selection for Model-based Reinforcement Learning ICML 2013