A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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Updated
Aug 6, 2024 - Python
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
RL Reach is a platform for running reproducible reinforcement learning experiments.
Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.
This is a quadruped simulated on pybullet physics engine, walking using trot and bound mechanisms
This is a Biped simulated on pybullet physics engine, walking
Implementation of Trust Region Policy Optimization and Proximal Policy Optimization algorithms on the objective of Robot Walk.
ME 604- Robotics Project (IIT Bombay) Kuka Robot
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