Learning Visual Embeddings for Reinforcement Learning
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Updated
Jul 26, 2019 - Python
Learning Visual Embeddings for Reinforcement Learning
Solving games with reinforcement learning
Implementation of Offline Reinforcement Learning in Gym Mini-Grid Environment 🔑
Project for the course Deep Learning and Applied AI a.y. 2021/2022, Dept. of Computer Science, Prof. Emanuele Rodolà
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
An environement builder for hierarchical reasoning research
Accelerated minigrid environments with JAX
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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