Co-occurring keywords · papers mentioning both
generative flow network
(3)
energy-based model
(2)
amortized inference
(2)
variational inference
(2)
sampling method
(1)
amortized sampling
(1)
cooperative multi-agent reinforcement learning
(1)
centralized training decentralized execution
(1)
transition path sampling
(1)
sample-efficient learning
(1)
Papers
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
ICLR 2025
Delta-AI: Local objectives for amortized inference in sparse graphical models
ICLR 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
AAAI 2024
GFlowNets and variational inference
ICLR 2023
Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning
CoRL 2022
Counterfactual Off-Policy Training for Neural Dialogue Generation
EMNLP 2020
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
AAAI 2020
Regularizing Model-Based Planning with Energy-Based Models
CoRL 2019