Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems.
Alexander OrorbiaAnkur Arjun MaliPublished in: CoRR (2022)
Keyphrases
- control problems
- reinforcement learning
- state space
- coding scheme
- real robot
- real time
- function approximation
- optimal control
- queueing systems
- learning algorithm
- temporal difference
- model free
- reinforcement learning algorithms
- human brain
- adaptive control
- eligibility traces
- optimal policy
- machine learning
- learning problems
- dynamic programming
- robotic systems
- reward function
- state action
- multi agent
- approximate dynamic programming
- action selection
- partially observable
- action space
- reinforcement learning methods
- continuous state spaces
- stochastic control