Questions tagged [trpo]

For questions related to the reinforcement learning algorithm called Trust Region Policy Optimization (TRPO).

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3
votes
0answers
60 views

Sampling in TRPO or PPO

In the TRPO paper, the objective to maximize is (equation 14) $$ \mathbb{E}_{s\sim\rho_{\theta_\text{old}},a\sim q}\left[\frac{\pi_\theta(a|s)}{q(a|s)} Q_{\theta_\text{old}}(s,a) \right] $$ which ...
2
votes
0answers
33 views

How does the TRPO surrogate loss account for the error in the policy?

In the Trust Region Policy Optimization (TRPO) paper, on page 10, it is stated An informal overview is as follows. Our proof relies on the notion of coupling, where we jointly define the ...
1
vote
1answer
81 views

Understanding lemma 2 of the “Trust Region Policy Optimization” paper

In the Trust Region Policy Optimization paper, in Lemma 2 of Appendix A, I did not quite understand deriving inequality (31) from (30), which is: $$\bar{A}(s) = P(a \neq \tilde{a} | s) \mathbb{E}_{(a,...
5
votes
2answers
503 views

TRPO/PPO importance sampling term in loss function

In the Trust-Region Policy Optimisation (TRPO) algorithm (and subsequently in PPO also), I do not understand the motivation behind replacing the log probability term from standard policy gradients ...
3
votes
1answer
40 views

Maximizing or Minimizing in Trust Region Policy Optimization?

I happened to discover that the v1 (19 Feb 2015) and the v5 (20 Apr 2017) versions of TRPO papers have two different conclusions. The Equation (15) in v1 is $\min_\theta$ while the Equation (14) in v2 ...
9
votes
1answer
5k views

Policy gradients for multiple continuous actions

Question is regarding Deep Reinforcement Learning using Policy Gradients. Cutting edge policy gradients algorithms are TRPO (Trusted Region Policy Optimization) and PPO (Proximal Policy Optimization)....