OpenDILab Decision AI Engine
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Updated
Jun 25, 2024 - Python
OpenDILab Decision AI Engine
An environement builder for hierarchical reasoning research
Accelerated minigrid environments with JAX
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Project for the course Deep Learning and Applied AI a.y. 2021/2022, Dept. of Computer Science, Prof. Emanuele Rodolà
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑
Solving games with reinforcement learning
Learning Visual Embeddings for Reinforcement Learning
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