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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

How to outperform off-the-shelf Deep Reseach agents?

We used AlphaMaze idea to train a robotics control model!

Ai system executing actions

[R] Enhancing GUI Agent Reasoning Through Rule-Based Reinforcement Learning

[P] Best approach to minimax agent for Ultimate Tic Tac Toe Game.

What are the sweet spot problems that agents can reliably handle?

What do you think goes into building an agent?

How do I get started with Agentic AI and building autonomous agents?

Bitter Lesson is about AI agents

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)