Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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Updated
Jun 4, 2024 - Jupyter Notebook
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
FinRL-Meta: Dynamic datasets and market environments for FinRL.
FinRL: Financial Reinforcement Learning. 🔥
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
Explore deepfake tech powered by AI. Craft unique content responsibly using free AI tools.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Open-source simulator for autonomous driving research.
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
Deep reinforcement learning for intelligent power control in IoT
Optimize multiple knapsack problem using reinforcement learning.
Just recording papers I read everyday 📚
Trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Deep Reinforcement Learning: Zero to Hero!
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Really Fast End-to-End Jax RL Implementations
Godpeny Github Page :)
An offline deep reinforcement learning library
[IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
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