The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning | Paper Citation Record

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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This paper cites OpenAI Gym.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning OpenAI Gym

Reference 3

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

Reference 6

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This paper cites Stabilizing Off-Policy Deep Reinforcement Learning from Pixels.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Stabilizing Off-Policy Deep Reinforcement Learning from Pixels

Reference 7

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This paper cites Randomized Ensembled Double Q-Learning: Learning Fast Without a Model.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Reference 8

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This paper cites Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2

Reference 9

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

Reference 10

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This paper cites G., and Courville, A.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning G., and Courville, A

Reference 11

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This paper cites W., Subramanian, J., and Ghassemi, M.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning W., Subramanian, J., and Ghassemi, M

Reference 12

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Observation 67b3ad1d-71b8-4f47-973f-7ce034d107c7 · outbound

This paper cites Revisiting fundamentals of experience replay.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Revisiting fundamentals of experience replay

Reference 13

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This paper cites Addressing function approximation error in actor-critic methods.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Addressing function approximation error in actor-critic methods

Reference 14

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This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 15

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This paper cites Sunk-cost fallacy and cognitive ability in individual decision-making.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Sunk-cost fallacy and cognitive ability in individual decision-making

Reference 16

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This paper cites R., Millman, K.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning R., Millman, K

Reference 17

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This paper cites Double q-learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Double q-learning

Reference 18

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This paper cites Dropout Q-Functions for Doubly Efficient Reinforcement Learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Reference 19

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This paper cites Planning Goals for Exploration.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Planning Goals for Exploration

Reference 20

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This paper cites Enhanced Experience Replay Generation for Efficient Reinforcement Learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Enhanced Experience Replay Generation for Efficient Reinforcement Learning

Reference 21

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

Reference 22

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This paper cites An investigation of generative replay in deep reinforcement learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning An investigation of generative replay in deep reinforcement learning

Reference 23

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This paper cites Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

Reference 24

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This paper cites Adam: A Method for Stochastic Optimization.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Adam: A Method for Stochastic Optimization

Reference 25

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This paper cites CURL : Contrastive unsupervised representations for reinforcement learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning CURL : Contrastive unsupervised representations for reinforcement learning

Reference 26

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This paper cites HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Reference 27

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Continuous control with deep reinforcement learning

Reference 29

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unlock the intermittent control ability of model free reinforcement learning

Reference 30

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

Reference 31

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning W., and Parker-Holder, J

Reference 32

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This paper cites Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

Reference 33

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Online reinforcement learning with uncertain episode lengths

Reference 34

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Tactical optimism and pessimism for deep reinforcement learning

Reference 35

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning The primacy bias in deep reinforcement learning

Reference 37

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Reinforcement Learning with Dynamic Boltzmann Softmax Updates

Reference 41

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Softmax deep double deterministic policy gradients

Reference 42

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Regularized softmax deep multi-agent q-learning

Reference 43

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Time limits in reinforcement learning

Reference 44

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning A., and Darrell, T

Reference 45

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning M., and Restelli, M

Reference 46

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning M., and Restelli, M

Reference 47

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Optimistic Exploration even with a Pessimistic Initialisation

Reference 48

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This paper cites Prioritized Experience Replay.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Prioritized Experience Replay

Reference 49

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Unresolved cited work

Reference 50

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The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning S., and Evci, U

Reference 51

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This paper cites Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL

Reference 52

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This paper cites Revisiting the softmax bellman operator: New benefits and new perspective.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Revisiting the softmax bellman operator: New benefits and new perspective

Reference 53

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This paper cites Prioritizing samples in reinforcement learning with reducible loss.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Prioritizing samples in reinforcement learning with reducible loss

Reference 54

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This paper cites Safe Exploration by Solving Early Terminated MDP.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Safe Exploration by Solving Early Terminated MDP

Reference 55

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This paper cites sunk costs.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning sunk costs

Reference 56

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This paper cites DeepMind Control Suite.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning DeepMind Control Suite

Reference 57

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This paper cites Loss Functions and Metrics in Deep Learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Loss Functions and Metrics in Deep Learning

Reference 58

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This paper cites H., Meyers, E.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning H., Meyers, E

Reference 59

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This paper cites Deep reinforcement learning with double q-learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Deep reinforcement learning with double q-learning

Reference 60

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This paper cites and Drake Jr, F.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning and Drake Jr, F

Reference 61

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This paper cites Optimism in Reinforcement Learning with Generalized Linear Function Approximation.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Optimism in Reinforcement Learning with Generalized Linear Function Approximation

Reference 62

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This paper cites DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

Reference 63

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This paper cites Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

Reference 64

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This paper cites Sample Efficient Deep Reinforcement Learning via Local Planning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Sample Efficient Deep Reinforcement Learning via Local Planning

Reference 65

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This paper cites Scaling Robot Learning with Semantically Imagined Experience.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Scaling Robot Learning with Semantically Imagined Experience

Reference 66

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This paper cites Taco: Temporal latent action-driven contrastive loss for visual reinforcement learning.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Taco: Temporal latent action-driven contrastive loss for visual reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:32:55.835270Z

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This paper cites write newline.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning write newline

Reference 68

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