A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
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Updated
Jun 16, 2024 - Python
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
An environment of the board game Go using OpenAI's Gym API
Reinforcement Learning Agents Trained in the CARLA Simulator
OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
A graphical interface for reinforcement learning and gym-based environments.
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Beer Game implemented as an OpenAI gym environment.
Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.
OpenAI Gym environment designed for training RL agents to balance double CartPole.
Simple Minimalistic Gridworld Environment for OpenAI Gym (Simple-MiniGrid)
This is an RL playground to test Karpathy's great tutorial on Policy Gradients.
An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.
Deep reinforcement learning solution for some open AI gym environments.
Using Reinforcement Learning to solve Maze Navigation, Acrobot, Mountain Car
Asteroids evasion using OpenAI's gym Reinforcement Learning (RL) package - M.Sc. Thesis in Computer Science, Ben Gurion University Ben Gurion University of the Negev, Israe
a q-learning implementation of the cart pole environment in openai gym
[KRoC 2022] TP2-2-11 / Imitation learning in OpenAI Gym simulator
A customised Open-AI gym environment which simulate the puzzle video game Threes
A custom OpenAI Gym environment based on custom-built Kuiper Escape PyGame.
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