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Official codebase of "Model-Based Offline Planning with Trajectory Pruning (MOPP)"

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Model-Based Offline Planning with Trajectory Pruning (MOPP)

Official codebase of the paper "Model-Based Offline Planning with Trajectory Pruning (MOPP)".

Setup

See requirements.txt.

Usage

  • Download the benchmark dataset from D4RL in data/d4rl.
  • Run run_planning.sh to run the D4RL benchmark tests.
  • The trained models are placed in learn_model/.
  • Check results of MOPP in learn_log/.

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Official codebase of "Model-Based Offline Planning with Trajectory Pruning (MOPP)"

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  • Python 96.1%
  • Shell 3.9%