policy gradient algorithms
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Related concepts
Concepts that appear alongside policy gradient algorithms across episodes.
- hierarchical reinforcement learning
- self-play (adversarial training)
- sparse reward problem
- sim-to-real transfer (with randomization)
- sample efficiency (data efficiency)
- computational intractability (program search)
- meta-learning paradigms (learning to learn)
- representation learning (for goals)
- hindsight experience replay (her)
- backpropagation (circuit search)
- generalization theory (shortest program)
- deep learning principles
- model-free rl (randomness, expectation)
- reinforcement learning framework
- q-learning algorithms