Reinforcement Learning with Feedback-modulated TD-STDP.
Stephen ChungRobert KozmaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- temporal difference
- reinforcement learning algorithms
- temporal difference learning
- eligibility traces
- function approximation
- td learning
- model free
- state space
- learning algorithm
- learning process
- function approximators
- markov decision processes
- relevance feedback
- control problems
- learning problems
- policy search
- optimal control
- policy evaluation
- evaluation function
- partially observable
- robot control
- rl algorithms
- supervised learning
- robotic control
- real time
- policy iteration
- action selection
- game playing
- optimal policy
- multi agent
- machine learning