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Results tagged with reinforcement-learning
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user 25141
For questions related to reinforcement learning, i.e. a machine learning technique where we imagine an agent that interacts with an environment (composed of states) in time steps by taking actions and receiving rewards (or reinforcements), then, based on these interactions, the agent tries to find a policy (i.e. a behavioural strategy) that maximizes the cumulative reward (in the long run), so the goal of the agent is to maximize the reward.
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How to stop DQN Q function from increasing during learning?
I changed the rewards to be negative and positive by substructing the mean reward.
It seems to improve the Q function boundries.
- 183
5
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4
answers
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How to stop DQN Q function from increasing during learning?
Following the DQN algorithm with experience replay:
Store transition $\left(\phi_{t}, a_{t}, r_{t}, \phi_{t+1}\right)$ in $D$ Sample random minibatch of transitions $\left(\phi_{j}, a_{j}, r_{j}, \phi …
- 183
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2
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How to properly optimize shared network between actor and critic?
I'm building an actor-critic reinforcement learning algorithm to solve environments. I want to use a single encoder to find representation of my environment.
When I share the encoder with the actor an …
- 183