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

Optimistic Active Exploration of Dynamical Systems NIPS 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NIPS 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NIPS 2023
Adversarial Model for Offline Reinforcement Learning NIPS 2023
Thinker: Learning to Plan and Act NIPS 2023
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers AAAI 2023
Taylor TD-learning NIPS 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NIPS 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023
Model-Based Uncertainty in Value Functions AISTATS 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023
Simplified Temporal Consistency Reinforcement Learning ICML 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems NIPS 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability NIPS 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning ICML 2023
Curious Replay for Model-based Adaptation ICML 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023