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

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024
Language-guided World Models: A Model-based Approach to AI Control ACL 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning NIPS 2024
Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023
Physics-Informed Model-Based Reinforcement Learning L4DC 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023
Model-Based Reinforcement Learning for Cavity Filter Tuning L4DC 2023
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning ICML 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023
On Many-Actions Policy Gradient ICML 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning ICML 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models L4DC 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models ICML 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023