1611.08219
arxiv.org · 6,511 words · saved by 1 readers
N/A
The Off-Switch Game Dylan Hadfield-Menell1 and Anca Dragan1 and Pieter Abbeel1,2,3 and Stuart Russell1 1 University of California, Berkeley, 2 OpenAI, 3 International Computer Science Institute (ICSI) {dhm, anca, pabbeel, russell}@cs.berkeley.edu Abstract…
saved by
related reading
- Reinforcement Learning in Newcomblike Problemsproceedings.neurips.cc
- Embedded Agency (full-text version) — LessWronglesswrong.com
- 1011.0686arxiv.org
- [2602.19362] LLMs Can Learn to Reason Via Off-Policy RLarxiv.org
- Towards a scale-free theory of intelligent agency — AI Alignment Forumalignmentforum.org
- 2109.10813.pdfarxiv.org
- [2103.06326] S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learningarxiv.org
- [1912.01683] Optimal Policies Tend to Seek Powerarxiv.org
- Approval-directed agency and the decision theory of Newcomb-like problemslink.springer.com
- Deep Reinforcement Learning from Human Preferencesproceedings.neurips.cc
- [1709.06560] Deep Reinforcement Learning that Mattersarxiv.org
- TechnicalAgenda.pdfintelligence.org