conftrace_

offline reinforcement learning

492 papers

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Also known as

OFFLINE RL ORL

Co-occurring keywords

policy optimization (630) policy learning (699) model-based reinforcement learning (415) value function (294) sample complexity (1158) deep reinforcement learning (903) imitation learning (741) distribution shift (711) markov decision process (788) reinforcement learning (4122)

Papers

Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023

Affordances From Human Videos as a Versatile Representation for Robotics CVPR 2023

Elastic Decision Transformer NIPS 2023

Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL UAI 2023

Pessimistic Model Selection for Offline Deep Reinforcement Learning UAI 2023

A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning UAI 2023

Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023

DROID: Learning from Offline Heterogeneous Demonstrations via Reward-Policy Distillation CORL 2023

FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation RSS 2023

Finetuning Offline World Models in the Real World CORL 2023

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CORL 2023

Contrastive Value Learning: Implicit Models for Simple Offline RL CORL 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning CORL 2023

BridgeData V2: A Dataset for Robot Learning at Scale CORL 2023

Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning CORL 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023

A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023

Distributed Offline Policy Optimization Over Batch Data AISTATS 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023

Anti-Exploration by Random Network Distillation ICML 2023

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023

Continuous-Time Decision Transformer for Healthcare Applications AISTATS 2023