kinova_isaaclab_sim2real
Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.
rlor
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
drone-control-using-reinforcement-learning
Control drone with ppo in gym-pybullet-drones
https://github.com/cn-upb/deepcomp
Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
vime-pytorch
PyTorch implementation of the VIME paper (Variational Information Maximizing Exploration)
https://github.com/araffin/pytorch_agents
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR). Python2 compatible (branch python2)
drl-nav
Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.
https://github.com/augustunderground/edelwace
Reinforcement Learning Agents for Analog Circuit Sizing in Haskell.
rl_task_independent_joint_control
Learning Task-independent Joint Control for Robotic Manipulators with Reinforcement Learning and Curriculum Learning
briscolabot
Reinforcement Learning agent that plays Briscola, a famous Italian card game