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1711.02827
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Inverse Reward Design
8 November 2017
Dylan Hadfield-Menell
S. Milli
Pieter Abbeel
Stuart J. Russell
Anca Dragan
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Papers citing
"Inverse Reward Design"
50 / 265 papers shown
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Balancing Performance and Human Autonomy with Implicit Guidance Agent
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153
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29 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
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Pieter Abbeel
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188
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11 Aug 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration
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196
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Ivan Vendrov
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Steven Adler
Dylan Hadfield-Menell
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Offline Meta-Reinforcement Learning with Online Self-Supervision
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Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
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364
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Supervised Bayesian Specification Inference from Demonstrations
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Pritish Kamath
Shen Li
Patrick L. Craven
Kevin J. Landers
Kevin B. Oden
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228
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Cody Wild
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202
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Unsupervised Skill Discovery with Bottleneck Option Learning
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209
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Kari E. A. Norman
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Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
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143
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Policy Gradient Bayesian Robust Optimization for Imitation Learning
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277
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151
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Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
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210
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Goal Misgeneralization in Deep Reinforcement Learning
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503
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A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
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214
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41
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Reward (Mis)design for Autonomous Driving
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W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
349
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Understanding and Avoiding AI Failures: A Practical Guide
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Roman V. Yampolskiy
199
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Alignment of Language Agents
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Laura Weidinger
Iason Gabriel
Vladimir Mikulik
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239
204
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26 Mar 2021
Combining Reward Information from Multiple Sources
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191
4
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Maximum Entropy RL (Provably) Solves Some Robust RL Problems
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Benjamin Eysenbach
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276
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Efficient learning of goal-oriented push-grasping synergy in clutter
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Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
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230
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08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
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306
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On the Equilibrium Elicitation of Markov Games Through Information Design
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Quanyan Zhu
27
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115
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Planning and Learning Using Adaptive Entropy Tree Search
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Mikolaj Pacek
Piotr Milo's
191
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Consequences of Misaligned AI
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Dylan Hadfield-Menell
203
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Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks
Aidong Yang
Xinlang Yue
Ouyang Ye
142
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Choice Set Misspecification in Reward Inference
Rachel Freedman
Rohin Shah
Anca Dragan
171
19
0
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Multi-Principal Assistance Games: Definition and Collegial Mechanisms
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Andrew Critch
Dylan Hadfield-Menell
Stuart J. Russell
146
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Avoiding Tampering Incentives in Deep RL via Decoupled Approval
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224
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160
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Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
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Laurent Orseau
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Miljan Martic
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130
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