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Results tagged with imitation-learning
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user 28117
For questions related to imitation learning (IL), a reinforcement learning technique where a policy is learned from examples (represented as trajectories) of an (optimal) agent's behavior. IL is similar to inverse reinforcement learning (IRL), where a reward function is learned from examples of the (optimal) agent's behavior, which can then be used to solve the RL problem (i.e. find the policy).
1
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Why could there be "information leak" if we do not use fixed horizons?
In the standard Cartpole environment, the episode ends either at 500 timesteps or when the Cartpole falls down. Expert demonstrations show how to keep the Cartpole upright for 500 timesteps.
One degen …
- 111
0
votes
Why not use only expert demonstrations in Imitation Learning approaches?
Using suboptimal demonstrations in Imitation Learning
The paper you link above uses Behavior Cloning (supervised learning on the expert state-action pairs), which is known to suffer from the "DAgger p …
- 111