Co-occurring keywords · papers mentioning both
Papers
Feedback control guides credit assignment in recurrent neural networks
NeurIPS 2024
From Past to Future: Rethinking Eligibility Traces
AAAI 2024
Hindsight PRIORs for Reward Learning from Human Preferences
ICLR 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
NeurIPS 2024
Mastering Memory Tasks with World Models
ICLR 2024
Reasoning with Latent Diffusion in Offline Reinforcement Learning
ICLR 2024
Reflective Multi-Agent Collaboration based on Large Language Models
NeurIPS 2024
Reinforcing LLM Agents via Policy Optimization with Action Decomposition
NeurIPS 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
ICLR 2024
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning
AAAI 2024
TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning
COLING 2024
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
ICML 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
AAAI 2023
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
NeurIPS 2023
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
NeurIPS 2023
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
NeurIPS 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
NeurIPS 2023
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
ACML 2023
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
ICML 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
NeurIPS 2023
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
AAAI 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
AAAI 2023
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
NeurIPS 2023
Multi-Agent Automated Machine Learning
CVPR 2023