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 Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Simplifying Latent Dynamics with Softly State-Invariant World Models NIPS 2024
Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint) AAAI 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NIPS 2024
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NIPS 2024
Leveraging Separated World Model for Exploration in Visually Distracted Environments NIPS 2024
Goal-Space Planning with Subgoal Models JMLR 2024
Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024
Value-Distributional Model-Based Reinforcement Learning JMLR 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024
Model-based Diffusion for Trajectory Optimization NIPS 2024
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024