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Is There a Half-Life for the Success Rates of AI Agents?

Building Effective AI Agents

A Framework for Characterizing Emergent Conflict Between Non-Coordinating Agents [pdf]

Q-learning is not yet scalable

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Reinforcement Pre-Training

Reinforcement Learning to Train Large Language Models to Explain Human Decisions

ReasoningGym: Reasoning Environments for RL with Verifiable Rewards

Show HN: A Implementation of Alpha Zero for Chess in MLX

Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

How do you manage the context of the agent from overflowing ?

SOTA method to manage mutli agents context ?

AceReason-Nemotron-14B: Advancing Math and Code Reasoning through Reinforcement Learning

Main challenge in Agent AI

[D] Is it worth training a Deep RL agent to control DC motors instead of using PID?

How narrow do you guys build your agents? Agent Swarms

Can't we learn agents for free?

agents think too much?

Xiaomi MiMo

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MiMo-7B-RL

DLR-RM

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

google-deepmind

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mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

microsoft

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qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Farama-Foundation

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Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

vwxyzjn

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cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)