github.com
facebookresearch/RRL: Code for RRL (https://sites.google.com/view/abstractions4rl)
· Code for RRL (https://sites.google.com/view/abstractions4rl) - GitHub - facebookresearch/RRL: Code for RRL (https://sites.google.com/view/abstractions4rl) · Shared by 6, including Matt Shaffer
github.com
GitHub - deepmind/mujoco_menagerie: A collection of high-quality models for the MuJoCo physics engine, curated by DeepMind.
· A collection of high-quality models for the MuJoCo physics engine, curated by DeepMind. - GitHub - deepmind/mujoco_menagerie: A collection of high-quality models for the MuJoCo physics engine, cura... · Shared by 58, including AGI.Eth | AIKing.Eth | 👑.sgb, Matt Shaffer, Nando de Freitas 🏳️🌈, Mike Tamir, PhD
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albertwilcox/mcac: Author implementation of Monte Carlo Augmented Actor Critic in PyTorch
· Author implementation of Monte Carlo Augmented Actor Critic in PyTorch - GitHub - albertwilcox/mcac: Author implementation of Monte Carlo Augmented Actor Critic in PyTorch · Shared by 5, including Matt Shaffer
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alex-petrenko/sample-factory: High throughput asynchronous reinforcement learning
· High throughput asynchronous reinforcement learning - GitHub - alex-petrenko/sample-factory: High throughput asynchronous reinforcement learning · Shared by 4, including Matt Shaffer
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dmksjfl/MCQ: Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
· Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022) - GitHub - dmksjfl/MCQ: Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS... · Shared by 5, including Matt Shaffer
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GitHub - lmzintgraf/varibad: Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
· Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020) - GitHub - lmzintgraf/varibad: Implementation of VariBAD: A Very Good Method... · Shared by 5, including Matt Shaffer
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GitHub - Farama-Foundation/Kabuki: Gymnasium for offline reinforcement learning
· Gymnasium for offline reinforcement learning. Contribute to Farama-Foundation/Kabuki development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
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GitHub - yangchen1997/Multi-Agent-Reinforcement-Learning: PyTorch implements multi-agent reinforcement learning algorithms, including Qmix, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise…
· PyTorch implements multi-agent reinforcement learning algorithms, including Qmix, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG. - GitHub - yang... · Shared by 5, including Matt Shaffer
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iassael/learning-to-communicate: Learning to Communicate with Deep Multi-Agent Reinforcement Learning
· Learning to Communicate with Deep Multi-Agent Reinforcement Learning - GitHub - iassael/learning-to-communicate: Learning to Communicate with Deep Multi-Agent Reinforcement Learning · Shared by 4, including Matt Shaffer
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YanjieZe/rl3d: Code for "Visual Reinforcement Learning with Self-Supervised 3D Representations"
· Code for "Visual Reinforcement Learning with Self-Supervised 3D Representations" - GitHub - YanjieZe/rl3d: Code for "Visual Reinforcement Learning with Self-Supervised 3D Representat... · Shared by 5, including Matt Shaffer
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HaozhiQi/hora: In-Hand Object Rotation via Rapid Motor Adaptation
· In-Hand Object Rotation via Rapid Motor Adaptation - GitHub - HaozhiQi/hora: In-Hand Object Rotation via Rapid Motor Adaptation · Shared by 5, including Matt Shaffer
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webЯcade: Feed-driven gaming
· Feed-driven gaming. Contribute to webrcade/webrcade development by creating an account on GitHub. · Shared by 8, including Matt Shaffer
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kevinzakka/obj2mjcf: A CLI for processing composite Wavefront OBJ files into a MuJoCo-conducive format
· A CLI for processing composite Wavefront OBJ files into a MuJoCo-conducive format - GitHub - kevinzakka/obj2mjcf: A CLI for processing composite Wavefront OBJ files into a MuJoCo-conducive format · Shared by 5, including Matt Shaffer
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GitHub - google-research/reincarnating_rl: Open source code for reusing prior computational work in RL.
· Open source code for reusing prior computational work in RL. - GitHub - google-research/reincarnating_rl: Open source code for reusing prior computational work in RL. · Shared by 6, including Matt Shaffer
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GitHub - younggyoseo/apv
· Contribute to younggyoseo/apv development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
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reiniscimurs/DRL-robot-navigation: Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3)…
· Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g... · Shared by 5, including Matt Shaffer
