Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations

Benchmarking safe exploration in deep reinforcement learning

Original

Ray, A.; Achiam, J.; and Amodei, D. 2019 · 1910

Earlier work this paper cites.

Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment

Busemeyer, J. R.; and Townsend, J. T. 1993 · 1993

Earlier work this paper cites.

Constrained Markov Decision Processes , volume 7

Altman, E. 1999 · 1999

Earlier work this paper cites.

Algorithms for Inverse Reinforcement Learning

Ng, A. Y.; and Russell, S. J. 2000 · 2000

Earlier work this paper cites.

Multialternative decision field theory: A dynamic connectionst model of decision making

Roe, R. M.; Busemeyer, J. R.; and Townsend, J. T. 2001 · 2001

Earlier work this paper cites.

Survey of decision field theory

Busemeyer, J. R.; and Diederich, A. 2002 · 2002

Earlier work this paper cites.

Apprenticeship learning via inverse reinforcement learning

Abbeel, P.; and Ng, A. Y. 2004 · 2004

Earlier work this paper cites.

Handbook of Constraint Programming

Rossi, F.; Van Beek, P.; and Walsh, T. 2006 · 2006

Earlier work this paper cites.

Maximum Entropy Inverse Reinforcement Learning

Ziebart, B. D.; Maas, A. L.; Bagnell, J. A.; and Dey, A. K. 2008 · 2008

Earlier work this paper cites.

Theoretical developments in decision field theory: Comment on Tsetsos, Usher, and Chater (2010)

Hotaling, J. M.; Busemeyer, J. R.; and Li, J. 2010 · 2010

Cited alongside, same era.

Modeling Interaction via the Principle of Maximum Causal Entropy

Ziebart, B. D.; Bagnell, J. A.; and Dey, A. K. 2010 · 2010

Cited alongside, same era.

Thinking, Fast and Slow

Kahneman, D. 2011 · 2011

Cited alongside, same era.

Research priorities for robust and beneficial artificial intelligence

Russell, S.; Dewey, D.; and Tegmark, M. 2015 · 2015

Cited alongside, same era.

Concrete problems in AI safety

Original

Amodei, D.; Olah, C.; Steinhardt, J.; Christiano, P.; Schulman, J.; and Mané, D. 2016 · 2016

Cited alongside, same era.

Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation

Incorporating Behavioral Constraints in Online AI Systems

Balakrishnan, A.; Bouneffouf, D.; Mattei, N.; and Rossi, F. 2019 · 2019

Later among the works it cites.

Teaching AI agents ethical values using reinforcement learning and policy orchestration

Noothigattu, R.; Bouneffouf, D.; Mattei, N.; Chandra, R.; Madan, P.; Varshney, K. R.; Campbell, M.; Singh, M.; and Rossi, F. 2019 · 2019

Later among the works it cites.

Learning Preferences in a Cognitive Decision Model

Rahgooy, T.; and Venable, K. B. 2019 · 2019

Later among the works it cites.

Building Ethically Bounded AI

Rossi, F.; and Mattei, N. 2019 · 2019

Later among the works it cites.

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Scobee, D. R. R.; and Sastry, S. S. 2020 · 2020

Later among the works it cites.

Thinking Fast and Slow in AI

Booch, G.; Fabiano, F.; Horesh, L.; Kate, K.; Lenchner, J.; Linck, N.; Loreggia, A.; Murugesan, K.; Mattei, N.; Rossi, F.; and Srivastava, B. 2021 · 2021