Research map / Multi-agent systems and games / Human-AI and goal-conditioned
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Fast Task Inference with Variational Intrinsic Successor Features (ICLR 2020 · similarity 0.87)
- Agent57: Outperforming the Atari Human Benchmark (ICML 2020 · similarity 0.87)
- GUIDE: Real-Time Human-Shaped Agents (NeurIPS 2024 · similarity 0.86)
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation (ICML 2026 · similarity 0.85)
- Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks (ICLR 2025 · similarity 0.85)
- PLATO: Pointer Learner for Agent and Task Openness (NeurIPS 2026 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.