Shimon Whiteson

papers

1,223

total citations

papers (17)

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

NEURIPS 2020arXiv

436

citations

FACMAC: Factored Multi-Agent Centralised Policy Gradients

NEURIPS 2021arXiv

330

citations

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

NEURIPS 2023arXiv

137

citations

The Waymo Open Sim Agents Challenge

NEURIPS 2023arXiv

citations

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

NEURIPS 2022arXiv

citations

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

NEURIPS 2020arXiv

citations

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

NEURIPS 2023arXiv

citations

Equivariant Networks for Zero-Shot Coordination

NEURIPS 2022arXiv

citations

Bayesian Bellman Operators

NEURIPS 2021arXiv

citations

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing

NEURIPS 2021arXiv

citations

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

NEURIPS 2023arXiv

citations

Learning Retrospective Knowledge with Reverse Reinforcement Learning

NEURIPS 2020arXiv

citations

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control

ICML 2024arXiv

citations

Shimon Whiteson

papers (17)

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

FACMAC: Factored Multi-Agent Centralised Policy Gradients

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

The Waymo Open Sim Agents Challenge

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

Equivariant Networks for Zero-Shot Coordination

Bayesian Bellman Operators

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

Learning Retrospective Knowledge with Reverse Reinforcement Learning

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control

Bayesian Exploration Networks

A Clean Slate for Offline Reinforcement Learning

GoalLadder: Incremental Goal Discovery with Vision-Language Models

Regularized Softmax Deep Multi-Agent Q-Learning

papers (17)

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

FACMAC: Factored Multi-Agent Centralised Policy Gradients

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

The Waymo Open Sim Agents Challenge

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design

Equivariant Networks for Zero-Shot Coordination

Bayesian Bellman Operators

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

Learning Retrospective Knowledge with Reverse Reinforcement Learning

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control

Bayesian Exploration Networks

A Clean Slate for Offline Reinforcement Learning

GoalLadder: Incremental Goal Discovery with Vision-Language Models

Regularized Softmax Deep Multi-Agent Q-Learning