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Found 3 papers, 3 papers with code
Realistic Physics Based Character Controller
Over the course of the last several years there was a strong interest in application of modern optimal control techniques to the field of character animation.
PPO Dash: Improving Generalization in Deep Reinforcement Learning
Deep reinforcement learning is prone to overfitting, and traditional benchmarks such as Atari 2600 benchmark can exacerbate this problem.
Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
Recent advances in deep reinforcement learning in the paradigm of locomotion using continuous control have raised the interest of game makers for the potential of digital actors using active ragdoll.
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