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Intro
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Classroom Contents
Toward Generalizable Embodied AI for Machine Autonomy
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- 1 Intro
- 2 Sequential Decision Making in Complex Environments
- 3 Data from the Existing Simulation Environments
- 4 Procedural Generation of New Environments
- 5 Benchmarking RL Generalization
- 6 Benchmarking Safe Reinforcement Learning
- 7 Benchmarking Multi-Agent Reinforcement Learning
- 8 Real2Sim: Learning to generate traffic scenarios
- 9 Pretraining Policy Representation with Real World Data
- 10 Self-supervised Learning through Contrastive Learning
- 11 Policy Pretraining with Human Actions
- 12 Action-conditioned Contrastive Learning
- 13 Pretrained Representation for Imitation Learning
- 14 Human-in-the-loop Reinforcement Learning
- 15 Human-Al Copilot Optimization (HACO)
- 16 Demo Video: Learning to drive in CARLA environment
- 17 Policy Dissection through Frequency Analysis
