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framework:empathic-deep-q-learning-dqnEmpathic Deep Q-Learning (DQN)
Related technique that mitigates harmful behaviors by simulating another agent's perspective, but relies on hand-coded mechanisms
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- The central framework proposed in this paper: aligning AI internal representations of self and others to reduce deceptive behavior
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Reference for empathic DQN, a related but hand-coded approach to reducing harmful behaviors
- Deep architecture with recurrent connections within layers, can learn compressed representations and retain stable attractors.
- Learning hierarchical representations of non-decomposable functions; proposed as formal equivalent to ETI process.
- AI training method inspired by behaviorism, used for autonomous cars and drones; cited as bioinspired success
- Model-free RL algorithm used in experimental comparison; employs ε-greedy exploration.
- The procedure of living with families in a target culture, using one's own feelings as measuring instrument, and cross-checking across multiple observers to identify essential centers
- DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning (DeepSeekAI, 2025)concept0.715Paper introducing DeepSeek-R1 model and reporting self-reflection as aha moment