diff --git a/.github/workflows/r-cmd-check-paradox.yml b/.github/workflows/r-cmd-check-paradox.yml
new file mode 100644
index 0000000..44327d4
--- /dev/null
+++ b/.github/workflows/r-cmd-check-paradox.yml
@@ -0,0 +1,44 @@
+# r cmd check workflow of the mlr3 ecosystem v0.1.0
+# https://github.com/mlr-org/actions
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+name: r-cmd-check-paradox
+
+jobs:
+  r-cmd-check:
+    runs-on: ${{ matrix.config.os }}
+
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - {os: ubuntu-latest,   r: 'devel'}
+          - {os: ubuntu-latest,   r: 'release'}
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: paradox
+        run: 'echo -e "Remotes:\n    mlr-org/paradox,\n    mlr-org/mlr3learners,\n    mlr-org/mlr3pipelines,\n    mlr-org/mlr3oml" >> DESCRIPTION'
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          r-version: ${{ matrix.config.r }}
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          extra-packages: any::rcmdcheck
+          needs: check
+      - uses: r-lib/actions/check-r-package@v2
diff --git a/NEWS.md b/NEWS.md
index 4f2d60d..21da7d8 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,7 @@
 # mcboost (development version)
 
+* Compatibility with upcoming 'paradox' release.
+
 # mcboost 0.4.2
 * Removed new functionality for survival tasks added in `0.4.0`. 
   A dependency, `mlr3proba` was removed from CRAN for now.
diff --git a/R/PipeOpMCBoost.R b/R/PipeOpMCBoost.R
index 9cc8a7d..6ff5095 100644
--- a/R/PipeOpMCBoost.R
+++ b/R/PipeOpMCBoost.R
@@ -65,19 +65,19 @@ PipeOpMCBoost = R6Class("PipeOpMCBoost",
     #' @param param_vals [`list`] \cr
     #'   List of hyperparameters for the `PipeOp`.
     initialize = function(id = "mcboost", param_vals = list()) {
-      param_set = paradox::ParamSet$new(list(
-        paradox::ParamInt$new("max_iter", lower = 0L, upper = Inf, default = 5L, tags = "train"),
-        paradox::ParamDbl$new("alpha", lower = 0, upper = 1, default = 1e-4, tags = "train"),
-        paradox::ParamDbl$new("eta", lower = 0, upper = 1, default = 1, tags = "train"),
-        paradox::ParamLgl$new("partition", tags = "train", default = TRUE),
-        paradox::ParamInt$new("num_buckets", lower = 1, upper = Inf, default = 2L, tags = "train"),
-        paradox::ParamLgl$new("rebucket", default = FALSE, tags = "train"),
-        paradox::ParamLgl$new("multiplicative", default = TRUE, tags = "train"),
-        paradox::ParamUty$new("auditor_fitter", default = NULL, tags = "train"),
-        paradox::ParamUty$new("subpops", default = NULL, tags = "train"),
-        paradox::ParamUty$new("default_model_class", default = ConstantPredictor, tags = "train"),
-        paradox::ParamUty$new("init_predictor", default = NULL, tags = "train")
-      ))
+      param_set = paradox::ps(
+        max_iter = paradox::p_int(lower = 0L, upper = Inf, default = 5L, tags = "train"),
+        alpha = paradox::p_dbl(lower = 0, upper = 1, default = 1e-4, tags = "train"),
+        eta = paradox::p_dbl(lower = 0, upper = 1, default = 1, tags = "train"),
+        partition = paradox::p_lgl(tags = "train", default = TRUE),
+        num_buckets = paradox::p_int(lower = 1, upper = Inf, default = 2L, tags = "train"),
+        rebucket = paradox::p_lgl(default = FALSE, tags = "train"),
+        multiplicative = paradox::p_lgl(default = TRUE, tags = "train"),
+        auditor_fitter = paradox::p_uty(default = NULL, tags = "train"),
+        subpops = paradox::p_uty(default = NULL, tags = "train"),
+        default_model_class = paradox::p_uty(default = ConstantPredictor, tags = "train"),
+        init_predictor = paradox::p_uty(default = NULL, tags = "train")
+      )
       super$initialize(id,
         param_set = param_set, param_vals = param_vals, packages = character(0),
         input = data.table(name = c("data", "prediction"), train = c("TaskClassif", "TaskClassif"), predict = c("TaskClassif", "TaskClassif")),