OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Apr 17, 2025 - Python
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Unified Reinforcement Learning Framework
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
A framework for easy prototyping of distributed reinforcement learning algorithms
Scalable distributed reinforcement learning agents on kubernetes
implementation of distributed reinforcement learning with distributed tensorflow
Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
Use AWS RoboMaker and demonstrate a simulation that can train a reinforcement learning model to make a TurtleBot WafflePi to follow a TurtleBot burger, and then Deploy via RoboMaker to the robot.
[NeurIPS 2022] DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A PyTorch implementation of reinforcement lerning algorithms (DQN, DDQN, Prior DDQN, Distributed) based on ray
Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.
reinforcement learning alogrithm implement with Ray
Enterprise AI framework orchestrating AI agent swarms with reinforcement learning for scalable, autonomous business solutions.
NETHIC is a decentralized AI platform on blockchain for secure on-chain training and NFT-based model ownership.
Minimal implementations of distributed, recurrent, deep reinforcement learning algorithms
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