SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning

28 Dec 2019 • Keng Wah Loon • Laura Graesser • Milan Cvitkovic

We introduce SLM Lab, a software framework for reproducible reinforcement learning (RL) research. SLM Lab implements a number of popular RL algorithms, provides synchronous and asynchronous parallel experiment execution, hyperparameter search, and result analysis... (read more)

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METHOD	TYPE
ReLU	Activation Functions
Adam	Stochastic Optimization
Soft Actor Critic	Policy Gradient Methods
Entropy Regularization	Regularization
PPO	Policy Gradient Methods
A2C	Policy Gradient Methods
Experience Replay	Replay Memory
Double Q-learning	Off-Policy TD Control
Double DQN	Q-Learning Networks
Q-Learning	Off-Policy TD Control
Dense Connections	Feedforward Networks
Convolution	Convolutions
DQN	Q-Learning Networks

METHOD

TYPE

ReLU