Search Results for author:
Found 4 papers, 0 papers with code
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization
This paper presents the impact of a similar supports in the learning of a stable gait on a quadruped robot.
Proximal Policy Optimization Smoothed Algorithm
To address this issue we present a PPO variant, named Proximal Policy Optimization Smooth Algorithm (PPOS), and its critical improvement is the use of a functional clipping method instead of a flat clipping method.
Trade-off on Sim2Real Learning: Real-world Learning Faster than Simulations
While considering Sim and Real learning, our experiments show that the sample-efficient Deep Bayesian RL performance is better than DRL even when computation time (as opposed to number of iterations) is taken in consideration.
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Deep Reinforcement Learning (DRL) has shown its promising capabilities to learn optimal policies directly from trial and error.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
