Agentic RL最详细入门
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Updated
Aug 6, 2026 - HTML
Agentic RL最详细入门
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Curated papers, taxonomy, benchmarks, and decision guides for credit assignment in reasoning and agentic LLM reinforcement learning.
NGC-Learn: Computational Neuroscience and NeuroAI in Python
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Official implementation of "The Trace Is the State: Exact Credit Assignment for LLM Agent Teams" (arXiv:2603.06859).
[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
[SSAC 2026] Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
[NeurIPS 2026] Agentic reinforcement learning for CLI agents with structured action credit assignment, budgeted workspace context selection, and ShellOps benchmarks.
A study of reinforcement learning algorithms for fed-batch bioprocessesing
Official codebase for the preprint: "Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO".
High-performance Triton kernels for reinforcement learning credit assignment
Cooperative Multi-Agent Reinforcement Learning (MARL) Shapley value credit assignment engine evaluating fair marginal agent coalition rewards.
Awesome list of research publications and media on biologically-motivated learning algorithms.
Cooperative Multi-Agent Reinforcement Learning (MARL) Shapley value credit assignment engine evaluating fair marginal agent coalition rewards.
Exact-oracle conformance tests for turn-level credit assignment in agentic RL (GRPO, RLOO, GAE, GiGPO; verl, TRL, OpenRLHF).
Investigating methods for stable credit assignment for deep reinforcement learning
Various computational models for reinforcement learning
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