Decentralized Distributed PPO: Mastering PointGoal Navigation

ICLR 2020 Anonymous

We present Decentralized Distributed Proximal Policy Optimization (DD-PPO), a method for distributed reinforcement learning in resource-intensive simulated environments. DD-PPO is distributed (uses multiple machines), decentralized (lacks a centralized server), and synchronous (no computation is ever "stale"), making it conceptually simple and easy to implement... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
PointGoal Navigation Gibson PointGoal Navigation Depth DDPPO spl 0.917 # 1

Methods used in the Paper


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