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pomdp 1.2.4 (12/04/2024)
New Features
- Added the DynaMaze MDP dataset.
Bugfixes
- gridworld_maze_MDP: start state is now recorded in info.
- policy_graph: use complete parameter name.
pomdp 1.2.3 (05/04/2024)
Bugfixes
- Fixed possible memory violation in observation_matrix() and
transition_matrix().
pomdp 1.2.1 (04/08/2024)
New Features
- read_POMDP gained parameter verbose to debug reading.
- solve_x check now that the model is of type x.
- Added some POMDP file examples.
Bugfixes
- Improved read_POMDP and write_POMDP.
- old LaTeX version on the CRAN master cannot deal with underscores in
filenames. Rename the files cliff_walking_gridworld.png and
windy_gridworld.png
pomdp 1.2.0 (04/02/2024)
New Features
- Added functions to work with MDP policies (see ?
MDP_policy_functions).
- Added MDP solver functions: Q-learning, Sarsa, and expected
Sarsa.
- simulate_MDP() and simulate_POMDP() gained parameter
return_trajectories.
- New functions
absorbing_states() and
reachable_states() for MDPs and POMDPs.
- Support for gridworlds (see ? gridworld).
- New datasets: Cliff_walking, Windy_gridworld, RussianTiger
- plot_transition_graph() now hides unavailable actions.
- Added actions() to find available actions (unavailable actions have
a reward of -Inf).
- Added make_partially_observable() and make_fully_observable() to
convert between MDPs and POMDPs.
Changes
- simulate_POMDP(): Better calculation of T for infinite-horizon
problems.
- several functions are now generics with methods for POMDP and
MDP.
- policy() lost the parameters alpha and action.
- policy() and value_function() and gained the parameter drop.
- regret(): renamed parameter belief to start. Regret is now available
for MDPs.
- simulate_MDP() stops now at absorbing states.
- simulate_MDP_cpp() works now with sparse model representation.
- POMDP and MDP gained field for additional info.
- approx_MDP_policy_evaluation() is now called MDP_policy_evaluation()
and gained parameter theta as an additional stopping criterion.
- rewrote all accessor code reward_matrix, transition_matrix,
observation_matrix for better and faster access.
- normalize() gained parameters for more detailed normalization.
- POMDP() and MDP() lost normalize.
- model.h has now support for keywords in transition_prob and
observation_prob.
- MDP2POMDP is now make_partially_observable().
Bugfixes
- q_values_MDP(), solve_MDP(): Fixed reward representation issue.
- reward_val_cpp(): fixed observation matching bug.
pomdp 1.1.3 (12/20/2023)
New Features
- simulate_POMDP() and simulate_MDP() gained parameter delta_horizon
and calculates now the horizon for infinite-horizon problems.
- added add_policy() and several consistency checks.
Changes
- Changed the action names for the Maze example to the names used in
Russell and Norvig’s AIMA book.
- POMDP lost the parameter max. Costs need to be specified as negative
rewards.
Bugfixes
- simulate_POMDP() now adds terminal values.
pomdp 1.1.2 (09/07/2023)
Bugfixes
- Fixed memory access bug in model.h
pomdp 1.1.1 (09/04/2023)
Changes
- plot_policy_graph(): The parameter order has slightly changed;
belief_col is now called state_col; unreachable states are now
suppressed.
- policy() gained parameters alpha and action.
- color palettes are now exported.
- POMPD accessors gain parameter drop.
- POMDP constructor and read_POMDP gained parameter normalize and, by
default, normalize the POMDP definition.
New Features
- Large POMDP descriptions are now handled better by keeping the
reward as a data.frame and supporting sparse matrices in the C++
code.
- New function value_function() to access alpha vectors.
- New function regret() to calculate the regret of a policy.
- transition_graph() to visualize the transition model.
pomdp 1.1.0 (01/23/2023)
New Features
- Added C++ (Rcpp) support. Speed up for simulate_POMDP,
sample_belief_space, reward, …
- simulate_POMDP and sample_belief_space now have parallel (foreach)
support.
- Sparse matrices from package Matrix for matrices with a density
below 50%.
- Added support to parse matrices for POMDP files.
- Added model normalization.
- is_solved_POMDP(), is_converged_POMDP(), is_timedependent_POMDP(),
and is_solved_MDP() are now exported.
Changes
- accessors are now called now transition_val() and
observation_val().
- simulate_POMDP() and simulate_MDP() now return a list.
- reimplemented round_stochastic() to improve speed.
- MDP policy now uses factors for actions.
- estimate_belief_for_nodes() now can also use trajectories to
estimate beliefs faster.
- cleaned up the interface for episodes and epochs.
pomdp 1.0.3 (05/18/2022)
- Fixed rounding issue on some architectures.
pomdp 1.0.2 (05/17/2022)
- policy_graph() can now produce policy trees for finite-horizon
problems and the initial belief can be specified.
- simulate_POMDP(): fixed bug with not using horizon.
- reward() and reward_node_action() have now been separated.
- sample_belief_space() gained method ‘trajectories’.
- simulate_POMDP(): supports not epsilon-greedy policies.
- added x_prob() and x_val() functions to access individual parts of
the matrices.
- fixed converged finite-horizon case. It now only returns the
converged graph/alpha.
- we use not internally NA to represent * in the POMDP
definition.
- actions, states and observations are now factors in most
places.
pomdp 1.0.1 (03/25/2022)
- Fixed rounding issue on some architectures.
- Fixed bug in write_POMDP() (reported by emile-pelletier-gc).
- estimate_belief_for_nodes() is now exposed and the code has been
improved.
pomdp 1.0.0 (02/23/2022)
- POMDP objects now have no list element model, but are the model list
directly.
- moved pomdp-solve to package pomdpSolve.
- added solve_MDP().
- transition probability, observation probabilities and rewards can
now be specified as a function.
- transition_matrix et al now can also return a function.
- Improved POMDP file writer.
pomdp 0.99.3 (08/05/2021)
- moved Ternary and visNetwork to SUGGESTED.
- removed clang warning for lex scanners.
pomdp 0.99.2 (05/14/2021)
Bugfix
- Removed nonportable flag -C from Makefile.
pomdp 0.99.1 (05/13/2021)
New Features
- Added a wrapper for the sarsop library.
Changes
- Improved error messages when accessing fields not parsed by
read_POMDP.
- policy() no longer returns the graph, but just alphas and the
optimal action.
- The maintainer is now mhahsler.
Bugfix
- Resolved issues with factors for R 4.0. We now mostly use character
instead of factors.
- States and actions as numbers are now handled correctly (reported by
meeheal).
- Added spelling fixes by brianrice2.
- Fixed buffer overflow for filename parameters in pomdpsolve.
pomdp 0.99.0 (05/04/2020)
Changes
- Support finite-horizon POMDPs and store epochs.
- reward now looks at different epochs, calculates the optimal actions
and the parameter names are improved.
- solve_POMDP not looks at convergence.
- solve_POMDP gained parameter terminal_values.
- solve_POMDP gained parameter discount to overwrite the discount rate
specified in the model.
- solve_POMDP can now solve POMDPs with time-dependent transition
probabilities, observation probabilities and reward structure.
- solve_POMDP gained parameter grid in parameter list to specify a
custom belief point grid for the grid method.
- write_POMDP and solve_POMDP gained parameter digits.
- added read_POMDP to read POMDP files.
- plot for POMDP is now replaced by plot_policy_graph.
- added policy graph visualization with visNetwork.
- added plot_value_function.
- added function sample_belief_space to sample from the belief
space.
- added function plot_belief_space.
- added function transition_matrix.
- added function observation_matrix.
- added function reward_matrix.
- POMDP model now also contains horizon and terminal_values.
- added MDP formulated as a POMDP.
- added policy function to extract a better readable policy.
- added update_belief.
- added simulate_POMDP.
- added round_stochastic.
- added optimal_action.
pomdp 0.9.2 (12/06/2019)
Changes
- solve_POMDP can now solve POMDP files.
- added helper functions O, R and T.
- improved plot.
- Added reward function.
- values argument is now called max.
- Fixed class structure. The central class is not POMDP with elements
model and solution.
Bugfix
- fixed warning for start = “uniform”.
- fixed warning in C code for gcc10.
pomdp 0.9.1-1 (05/14/2019)
Bugfix
- fixed warning in mdp.c for gcc9.
pomdp 0.9.1 (01/02/2019)
Bugfix
- Fixed Warning in fg-params.c
New Features
- New method transitions to extract the transition matrix from a
POMDP.
pomdp 0.9.0 (12/25/2018)
Initial CRAN release.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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