New explorers and tripartite graph plot utils #239
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…l into heterogeneous
…l into heterogeneous
…l into heterogeneous
Conflicts: Project.toml src/RL/nn_structures/heterogeneouscpnn.jl src/RL/nn_structures/heterogeneousvariableoutputcpnn.jl src/RL/representation/default/cp_layer/accessors.jl src/RL/representation/default/defaultstaterepresentation.jl src/RL/representation/default/heterogeneousstaterepresentation.jl src/RL/utils/geometricflux/heterogeneousgraphconv.jl test/CP/valueselection/learning/environment.jl test/RL/nn_structures/heterogeneousfullfeaturedcpnn.jl test/RL/representation/default/defaultstaterepresentation.jl test/RL/representation/default/defaulttrajectorystate.jl test/RL/representation/default/heterogeneousstaterepresentation.jl test/datagen/coloring.jl
3rdCore
approved these changes
Jul 6, 2022
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| function get_T(s::SoftmaxTDecayExplorer, step) |
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Correct me if I'm wrong but the explorer has a temperature that decreases linearly along the training. The temperature is used inside the softmax function that computes a density probability from the Q-vector. A decision on the variable is then drawn out of this discrete distribution?
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| function (s::SoftmaxTDecayExplorer)(values, mask) | ||
| T = get_T(s, s.step) | ||
| s.is_training && (s.step += 1) |
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can you explain : && (s.step += 1)
Co-authored-by: Tom Marty <59280588+3rdCore@users.noreply.github.com>
louis-gautier
commented
Jul 8, 2022
gostreap
approved these changes
Jul 8, 2022
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This PR introduces a new explorer (softmax with temperature decay and UCB explorer) to test new exploring strategies for our RL agents.
It also adds a util which allows to plot tripartite graphs after they are initialized.