model-based reinforcement learning

Amortized Network Intervention to Steer the Excitatory Point Processes ICLR 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NeurIPS 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning NeurIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari NeurIPS 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Distributional Successor Features Enable Zero-Shot Policy Optimization NeurIPS 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming ICML 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning ICLR 2024 Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NeurIPS 2024 Goal-Space Planning with Subgoal Models JMLR 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024 Language-guided World Models: A Model-based Approach to AI Control ACL 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024