https://cluster-site.onrender.com/tags/rl/ Recent content in Rl on Tenu Tech Brief Hugo -- 0.146.0 en-us Tue, 24 Feb 2026 06:06:00 +0000 https://cluster-site.onrender.com/posts/hierarchical-reward-design-from-language-enhancing-alignment-of-agent-behavior-with-human-specifications/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/hierarchical-reward-design-from-language-enhancing-alignment-of-agent-behavior-with-human-specifications/ • HRDL extends reward design to encode nuanced human preferences for long-horizon tasks. • L2HR translates natural language specifications into hierarchical reward signals for RL a https://cluster-site.onrender.com/posts/task-aware-exploration-via-a-predictive-bisimulation-metric/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/task-aware-exploration-via-a-predictive-bisimulation-metric/ • TEB introduces task-aware exploration for visual RL with sparse rewards. • Uses predictive bisimulation metric to learn behaviorally grounded task representations. • Adds predict https://cluster-site.onrender.com/posts/tpru-advancing-temporal-and-procedural-understanding-in-large-multimodal-models/ Tue, 24 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/tpru-advancing-temporal-and-procedural-understanding-in-large-multimodal-models/ • TPRU dataset addresses temporal and procedural gaps in multimodal LLMs, enabling richer embodied AI. • Comprised of robotic manipulation and GUI navigation scenes with 3 tasks: T https://cluster-site.onrender.com/posts/enterprisegym-corecraft-training-generalizable-agents-on-high-fidelity-rl-environments/ Thu, 19 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/enterprisegym-corecraft-training-generalizable-agents-on-high-fidelity-rl-environments/ • Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:EnterpriseGym Corecraft: Training Generalizable Agents on High-Fidelity RL Environments View PDF HTML https://cluster-site.onrender.com/posts/enterprisegym-corecraft-training-generalizable-agents-on-high-fidelity-rl-environments/ Thu, 19 Feb 2026 05:00:00 +0000 https://cluster-site.onrender.com/posts/enterprisegym-corecraft-training-generalizable-agents-on-high-fidelity-rl-environments/ • Computer Science > Artificial Intelligence [Submitted on 18 Feb 2026] Title:EnterpriseGym Corecraft: Training Generalizable Agents on High-Fidelity RL Environments View PDF HTML https://cluster-site.onrender.com/posts/unlocking-agentic-rl-training-for-gpt-oss-a-practical-retrospective/ Tue, 27 Jan 2026 01:53:15 +0000 https://cluster-site.onrender.com/posts/unlocking-agentic-rl-training-for-gpt-oss-a-practical-retrospective/ • Agentic RL extends LLM training beyond single-turn responses to full decision-making via environment interaction. • It collects on‑policy data, optimizing policies across multi‑s https://cluster-site.onrender.com/posts/rl-without-td-learning/ Sat, 01 Nov 2025 09:00:00 +0000 https://cluster-site.onrender.com/posts/rl-without-td-learning/ • In this post, Iâll introduce a reinforcement learning (RL) algorithm based on an âalternativeâ paradigm: divide and conquer. • Unlike traditional methods, this algorithm is not b https://cluster-site.onrender.com/posts/rl-without-td-learning/ Sat, 01 Nov 2025 09:00:00 +0000 https://cluster-site.onrender.com/posts/rl-without-td-learning/ • In this post, Iâll introduce a reinforcement learning (RL) algorithm based on an âalternativeâ paradigm: divide and conquer. • Unlike traditional methods, this algorithm is not b