Questions tagged [td-lambda]

For questions related to TD($\lambda$) family of algorithms.

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TD-Leaf struggles at learning chess

I am currently working on implementing Giraffe chess algorithm. Following this paper, I designed a neural network similar to the one proposed by the author which I trained using TD-Leaf(lambda). The ...
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1answer
55 views

How is $\Delta$ updated in true online TD($\lambda$)?

In the RL textbook by Sutton & Barto section 7.4, the author talked about the "True online TD($\lambda$)". The figure (7.10 in the book) below shows the algorithm. At the end of each step, $V_{...
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81 views

Why not more TD(𝜆) in actor-critic algorithms?

Is there either an empirical or theoretical reason that actor-critic algorithms with eligibility traces have not been more fully explored? I was hoping to find a paper or implementation or both for ...
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119 views

What is the intuition behind TD($\lambda$)?

I'd like to better understand temporal-difference learning. In particular, I'm wondering if it is prudent to think about TD($\lambda$) as a type of "truncated" Monte Carlo learning?
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29 views

How is the general return-based off-policy equation derived?

I'm wondering how is the general return-based off-policy equation in Safe and efficient off-policy reinforcement learning derived $$\mathcal{R} Q(x, a):=Q(x, a)+\mathbb{E}_{\mu}\left[\sum_{t \geq 0} \...
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417 views

Why am I getting the incorrect value of lambda?

I am trying to solve for $\lambda$ using temporal-difference learning. More specifically, I am trying to figure out what $\lambda$ I need, such that $\text{TD}(\lambda)=\text{TD}(1)$, after one ...
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1k views

Can TD($\lambda$) be used with deep reinforcement learning?

TD lambda is a way to interpolate between TD(0) - bootstrapping over a single step, and, TD(max), bootstrapping over the entire episode length, or, Monte Carlo. Reading the link above, I see that an ...
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2answers
470 views

Why are lambda returns so rarely used in policy gradients?

I've seen monte-carlo reward $G_{t}$ used in REINFORCE and TD($0$) reward $r_t + \gamma Q(s', a')$ used in vanilla actor-critic. I've never seen someone use lambda reward $G^{\lambda}_{t}$ in these ...
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96 views

When do you back-propagate errors through a neural network when using TD($\lambda$)?

I have a neural network that I'm want to use to self-play Connect Four. The neural network receives the board state and is to provide an estimate of the state's value. I would then, for each move, ...