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Daniel Graves

Identifiers

  • name variant Daniel Graves 0.60 · backfill

Papers (24)

  1. Cohomology of rook-Brauer algebras and their subalgebras math.AT · 2024 · author #2
  2. Pirashvili--Richter-type theorems for the reflexive and dihedral homology theories math.AT · 2024 · author #1
  3. Generalized rook-Brauer algebras and their homology math.AT · 2023 · author #1
  4. Categorifying equivariant monoids math.CT · 2022 · author #1
  5. Reflexive homology math.AT · 2022 · author #1
  6. E-infinity structure in hyperoctahedral homology math.AT · 2021 · author #1
  7. Composing PROBs math.CT · 2021 · author #1
  8. Learning robust driving policies without online exploration cs.RO · 2021 · author #1
  9. Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems cs.AI · 2021 · author #5
  10. LISPR: An Options Framework for Policy Reuse with Reinforcement Learning cs.LG · 2020 · author #1
  11. Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning cs.RO · 2020 · author #2
  12. Hyperoctahedral Homology for Involutive Algebras math.AT · 2020 · author #1
  13. Affordance as general value function: A computational model cs.AI · 2020 · author #1
  14. SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving cs.MA · 2020 · author #14
  15. What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator cs.LG · 2020 · author #5
  16. Learning predictive representations in autonomous driving to improve deep reinforcement learning cs.LG · 2020 · author #1
  17. PROPs for involutive monoids and involutive bimonoids math.AT · 2020 · author #1
  18. A Comparison Map for Symmetric Homology and Gamma Homology math.AT · 2020 · author #1
  19. Perception as prediction using general value functions in autonomous driving applications cs.RO · 2020 · author #1
  20. Efficient decorrelation of features using Gramian in Reinforcement Learning cs.LG · 2019 · author #2
  21. Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans cs.RO · 2019 · author #4
  22. Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning cs.LG · 2019 · author #5
  23. Importance Resampling for Off-policy Prediction cs.LG · 2019 · author #3
  24. A Survey of High Level Frameworks in Block-Structured Adaptive Mesh Refinement Packages cs.DC · 2016 · author #8

Mentions

  • 2204.07985 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2211.03076 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2401.12884 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2310.06699 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2108.05154 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2105.13166 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2011.05857 #2 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2010.09536 #5 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2011.03427 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2010.14289 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2103.08070 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2102.07659 #5 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2005.07968 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2012.14942 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 1911.03074 #4 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2010.09776 #14 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2006.15110 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2005.07963 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 1909.03906 #5 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2001.09113 #1 · arxiv_oai · confidence 0.70 Daniel Graves
  • 1911.08610 #2 · arxiv_oai · confidence 0.70 Daniel Graves
  • 1906.04328 #3 · arxiv_oai · confidence 0.70 Daniel Graves
  • 1610.08833 #8 · arxiv_oai · confidence 0.70 Daniel Graves
  • 2412.14887 #2 · arxiv_oai · confidence 0.70 Daniel Graves

Frequent Coauthors