Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
agent
wrapper
natural-language-processing
reinforcement-learning
robotics
simulation
cup
rainbow
pytorch
a3c
transfer-learning
cups
multi-task-learning
model-based
model-free
simulated-environments
natural-language-instructions
ai2thor-environment
openai-gym-interface
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Updated
Mar 9, 2020 - Python