conftrace_

model-based reinforcement learning

415 papers

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Also known as

MBRL MODEL-BASED RL

Co-occurring keywords

sample efficiency (472) world model (189) offline reinforcement learning (492) policy optimization (657) reinforcement learning (4352) dynamics model (67) markov decision process (790) continuous control (246) sample complexity (1169) deep reinforcement learning (903)

Papers

MOPO: Model-based Offline Policy Optimization NIPS 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning NIPS 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NIPS 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs NIPS 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning NIPS 2020
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020
Predictive Coding for Locally-Linear Control ICML 2020
Planning to Explore via Self-Supervised World Models ICML 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic NIPS 2020
A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020
Goal-Aware Prediction: Learning to Model What Matters ICML 2020
Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020
Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NIPS 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals NIPS 2020
Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning NIPS 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020
Bidirectional Model-based Policy Optimization ICML 2020
Ready Policy One: World Building Through Active Learning ICML 2020
Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020
Selective Dyna-Style Planning Under Limited Model Capacity ICML 2020
Learning to Plan via Deep Optimistic Value Exploration L4DC 2020
Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020