PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
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Updated
Mar 12, 2025 - Python
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
Exploring Imitation Learning (DAGGER), RL (Policy Gradients and Soft Actor-Critic) and Imitation-Seeded RL for training MuJoCo Environments in OpenAI's Gym
Reinforcement Learning and Deeep reinforcement Learning
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