TorchBeast: A PyTorch Platform for Distributed RL

TorchBeast is a platform for reinforcement learning (RL) research in PyTorch. It implements a version of the popular IMPALA algorithm for fast, asynchronous, parallel training of RL agents... (read more)

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Methods used in the Paper


METHOD TYPE
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
V-trace
Value Function Estimation
Experience Replay
Replay Memory
Entropy Regularization
Regularization
Residual Connection
Skip Connections
Gradient Clipping
Optimization
RMSProp
Stochastic Optimization
ReLU
Activation Functions
Max Pooling
Pooling Operations
Convolution
Convolutions
LSTM
Recurrent Neural Networks
IMPALA
Policy Gradient Methods