PPaperPicks

Nick Hawes

University of Oxford, UK

16 papers at tracked venues · 6 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7556-6098 ↗Homepage ↗

Venues

IROS ×3NeurIPS ×3AAAI ×2AAMAS ×2ICRA ×2ECAI ×1ICAPS ×1ICML ×1IJCAI ×1

Frequent coauthors

Bruno Lacerda
×12
Jakob N. Foerster
×4
Yang You
×3
Alex Schutz
×3
Alexander Rutherford
×3
Timon Willi
×3
Robert Skilton
×2
Harry Mead
×2
Clarissa Costen
×2
Alex Stephens
×2
Benjamin Ellis
×2
Matteo Gallici
×2

Papers

  1. Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
    AAAI 2026 ·
    Yang You
    ,
    Alex Schutz
    ,
    Zhikun Li
    ,
    Bruno Lacerda
    ,
    Robert Skilton
    , Nick Hawes
  2. A Finite-State Controller Based Offline Solver for Deterministic POMDPs
    IJCAI 2025 ·
    Alex Schutz
    ,
    Yang You
    ,
    Matías Mattamala
    ,
    Ipek Caliskanelli
    ,
    Bruno Lacerda
    , Nick Hawes
  3. Decremental Dynamics Planning for Robot Navigation
    IROS 2025 ·
    Yuanjie Lu
    ,
    Tong Xu
    ,
    Linji Wang
    , Nick Hawes,
    Xuesu Xiao
  4. Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
    ICRA 2025 ·
    Rhys Howard
    , Nick Hawes,
    Lars Kunze
  5. Improving Regret Approximation for Unsupervised Dynamic Environment Generation
    NeurIPS 2025 ·
    Harry Mead
    ,
    Bruno Lacerda
    ,
    Jakob N. Foerster
    , Nick Hawes
  6. LUMOS: Language-Conditioned Imitation Learning with World Models
    ICRA 2025 ·
    Iman Nematollahi
    ,
    Branton DeMoss
    ,
    Akshay L. Chandra
    , Nick Hawes,
    Wolfram Burgard
    ,
    Ingmar Posner
  7. Multi-Agent Pickup and Delivery with Mobile Pickups
    IROS 2025 ·
    Benedetta Flammini
    , Nick Hawes,
    Bruno Lacerda
  8. Partially Observable Monte-Carlo Graph Search
    ICAPS 2025 ·
    Yang You
    ,
    Vincent Thomas
    ,
    Alex Schutz
    ,
    Robert Skilton
    , Nick Hawes,
    Olivier Buffet
  9. Return Capping: Sample Efficient CVaR Policy Gradient Optimisation
    ICML 2025 ·
    Harry Mead
    ,
    Clarissa Costen
    ,
    Bruno Lacerda
    , Nick Hawes
  10. Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments
    ECAI 2024 ·
    Alex Stephens
    ,
    Bruno Lacerda
    , Nick Hawes
  11. JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
    AAMAS 2024 ·
    Alexander Rutherford
    ,
    Benjamin Ellis
    ,
    Matteo Gallici
    ,
    Jonathan Cook
    ,
    Andrei Lupu
    ,
    Garðar Ingvarsson
    ,
    Timon Willi
    ,
    Akbir Khan
    ,
    Christian Schröder de Witt
    ,
    Alexandra Souly
    ,
    Saptarashmi Bandyopadhyay
    ,
    Mikayel Samvelyan
    ,
    Minqi Jiang
    ,
    Robert T. Lange
    ,
    Shimon Whiteson
    ,
    Bruno Lacerda
    , Nick Hawes,
    Tim Rocktäschel
    ,
    Chris Lu
    ,
    Jakob N. Foerster
  12. JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
    NeurIPS 2024 ·
    Alexander Rutherford
    ,
    Benjamin Ellis
    ,
    Matteo Gallici
    ,
    Jonathan Cook
    ,
    Andrei Lupu
    ,
    Garðar Ingvarsson
    ,
    Timon Willi
    ,
    Ravi Hammond
    ,
    Akbir Khan
    ,
    Christian Schröder de Witt
    ,
    Alexandra Souly
    ,
    Saptarashmi Bandyopadhyay
    ,
    Mikayel Samvelyan
    ,
    Minqi Jiang
    ,
    Robert T. Lange
    ,
    Shimon Whiteson
    ,
    Bruno Lacerda
    , Nick Hawes,
    Tim Rocktäschel
    ,
    Chris Lu
    ,
    Jakob N. Foerster
  13. Multi-Robot Allocation of Assistance from a Shared Uncertain Operator
    AAMAS 2024 ·
    Clarissa Costen
    ,
    Anna Gautier
    , Nick Hawes,
    Bruno Lacerda
  14. No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
    NeurIPS 2024 ·
    Alexander Rutherford
    ,
    Michael Beukman
    ,
    Timon Willi
    ,
    Bruno Lacerda
    , Nick Hawes,
    Jakob N. Foerster
  15. Planning for Long-Term Monitoring Missions in Time-Varying Environments
    IROS 2024 ·
    Alex Stephens
    ,
    Bruno Lacerda
    , Nick Hawes
  16. Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
    AAAI 2024 ·
    Matthew Budd
    ,
    Bruno Lacerda
    , Nick Hawes