OpenManus/OpenManus-RL
quality grade B, 65 out of 100A live stream development of RL tunning for LLM agents
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
A live stream development of RL tunning for LLM agents
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
Maze Applied Reinforcement Learning Framework
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Benchmarking the Spectrum of Agent Capabilities
Modularized Implementation of Deep RL Algorithms in PyTorch
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
High throughput synchronous and asynchronous reinforcement learning
Grokking Deep Reinforcement Learning
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Implementations of selected inverse reinforcement learning algorithms.
Really Fast End-to-End Jax RL Implementations
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
[ECCV 2026] MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Stock Trading Bot using Deep Q-Learning
Computational framework for reinforcement learning in traffic control
Training a humanoid robot for locomotion using Reinforcement Learning
24,535 repositories in the index in total.