D2RL: Deep Dense Architectures in Reinforcement Learning.
Samarth SinhaHomanga BharadhwajAravind SrinivasAnimesh GargPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- rl algorithms
- temporal difference learning
- temporal difference
- learning algorithm
- markov decision processes
- model free
- optimal control
- optimal policy
- transfer learning
- learning capabilities
- continuous state
- actor critic
- action space
- state abstraction
- dynamic programming
- multi agent
- learning problems
- temporal difference methods
- continuous state and action spaces
- direct policy search
- markov decision problems
- policy iteration
- control problems
- partially observable
- action selection