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1. gym-physx gym-physx Public

   OpenAI-Gym Robotics Manipulation Environment. Based on PhysX Simulator / with KOMO planning

   Python 1

2. gym-obstacles gym-obstacles Public

   OpenAI-Gym obstacle avoidance environment for training plan-conditioned policies

   Python 2

3. l2e l2e Public

   Code base for reproducing results of I.Schubert, D.Driess, O.Oguz, and M.Toussaint: Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. NeurIPS (2021)

   Python 3

4. fv-rs fv-rs Public

   Code base for reproducing results of ICLR 2021 paper "Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks"

   Python

5. ryenv ryenv Public

   Example environments for Reinforcement Learning with ry

   Python 1

6. lazyq lazyq Public

   Q-learning with lazy action model in Python. Workshop paper for MLPC@ICRA 2020.

   Python