Robuta

https://www.mdpi.com/2076-3417/12/22/11610 Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment The introduction of collaborative robots in industrial environments reinforces the need to provide these robots with better cognition to accomplish their tasks... conditioned reinforcement a human goal learning within https://openreview.net/forum?id=2uPZ4aX1VV¬eId=pYyxJlnlPs Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning | OpenReview Hindsight relabeling is a powerful tool for overcoming sparsity in goal-conditioned reinforcement learning (GCRL), especially in certain domains such as... conditioned reinforcement null counterfactual factor interactions https://openreview.net/forum?id=dmScrQ7SFo Score-Models for Offline Goal-Conditioned Reinforcement Learning | OpenReview Offline Goal-Conditioned Reinforcement Learning (GCRL) is tasked with learning to achieve multiple goals in an environment purely from offline datasets using... score models conditioned reinforcement offline goal learning https://openreview.net/forum?id=6KDZHgrDhG Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning | OpenReview Goal-conditioned reinforcement learning is a powerful way to control an AI agent's behavior at runtime. That said, popular goal representations, e.g., target... conditioned reinforcement compositional automata embeddings goal https://openreview.net/forum?id=rD6ulZFTbf Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning | OpenReview Graph-based planning framework exploiting successor features to achieve long-horizon goal-conditioned RL long horizon conditioned reinforcement successor feature landmarks https://openreview.net/forum?id=UBxh6uhyuc Training Reinforcement Learning Agents and Humans with Difficulty-Conditioned Generators |... We introduce Parameterized Environment Response Model (PERM), a method for training both Reinforcement Learning (RL) Agents and human learners in parameterized... reinforcement learning training agents humans difficulty https://openreview.net/forum?id=mdYvaTs4gr Confidence-Conditioned Value Functions for Offline Reinforcement Learning | OpenReview We propose a new offline reinforcement learning algorithm that adapts how conservative its behavior will be. value functions reinforcement learning confidence conditioned offline https://openreview.net/forum?id=l8iK6YqgkR Middle-Mile Logistics Through the Lens of Goal-Conditioned Reinforcement Learning | OpenReview Middle-mile logistics describes the problem of routing parcels through a network of hubs, which are linked by a fixed set of trucks. The main challenge comes... through the lens middle mile