Ecosyste.ms: Issues
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GitHub / thiagopbueno/tf-plan issues and pull requests
#43 - Add CEC-based online stochastic planner
Issue -
State: open - Opened by thiagopbueno about 4 years ago
Labels: refactor
#42 - chore(deps): bump tensorflow-cpu from 1.15 to 2.1.2
Pull Request -
State: closed - Opened by dependabot[bot] about 4 years ago
- 1 comment
Labels: dependencies
#41 - Dump nonfluents in CSV file before running any planner
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#40 - Report experiment summary
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#39 - Report trajectory results for each trial
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#38 - Apply discount factor over rewards for online planning
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#37 - Add monitor phase in online planning to attempt executing some previouly-planned actions
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#36 - Refactor simulation modules used in tensorplan and stochastic online tfplan and add it to train package
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#35 - Create separate click app for tensorplan
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: refactor
#34 - Add wall clock uptime for each online step to trajectory stats for stochastic planners
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#33 - Add the total reward for each online step to trajectory stats in stochastic planners
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#32 - Add the number of training epochs for each online step to trajectory stats in stochastic planners
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#31 - Add training epoch scheduler
Pull Request -
State: closed - Opened by thiagopbueno over 4 years ago
#30 - Add planning horizon and warm-start hyperparameters
Pull Request -
State: closed - Opened by thiagopbueno over 4 years ago
#29 - Report training losses curves for each evaluation timestep
Issue -
State: closed - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#28 - Add training epochs scheduler
Issue -
State: closed - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#27 - Add regularization term over the l2-norm of the policy variables
Issue -
State: open - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#26 - Add warm start in re-planning
Issue -
State: closed - Opened by thiagopbueno over 4 years ago
Labels: enhancement
#25 - Separate planning horizon and evaluation horizon
Issue -
State: closed - Opened by thiagopbueno almost 5 years ago
Labels: enhancement
#24 - chore(deps): Update tensorflow requirement from <2.0.0 to <3.0.0
Pull Request -
State: closed - Opened by dependabot[bot] almost 5 years ago
- 2 comments
Labels: dependencies
#23 - Bump tensorflow from 1.5.0 to 1.12.2
Pull Request -
State: closed - Opened by dependabot[bot] about 5 years ago
- 1 comment
Labels: dependencies
#22 - Configure tf.ConfigProto.gpu_options
Issue -
State: open - Opened by thiagopbueno about 5 years ago
#21 - Control and log the device placement in RNN models
Issue -
State: open - Opened by thiagopbueno about 5 years ago
#20 - Add time profiling for stochastic planners
Issue -
State: open - Opened by thiagopbueno about 5 years ago
Labels: enhancement
#19 - Add summary ops and tensorboard support
Issue -
State: closed - Opened by thiagopbueno about 5 years ago
#18 - Add logging capabilities for trajectory debugging
Issue -
State: open - Opened by thiagopbueno about 5 years ago
#17 - Add tqdm in training loop
Issue -
State: closed - Opened by thiagopbueno about 5 years ago
Labels: enhancement
#15 - Fix sampled noise inputs between online execution steps
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: bug
#14 - Remove dependencies to tf-rddlsim package
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: refactor
#13 - Unroll trajectory graph with actions and noise as inputs
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement, good first issue
#12 - Add arguments to ActionOptimizer to select and configure inner optimizer
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#11 - Unify test/evaluator.py and planners/environment.py modules
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
- 1 comment
Labels: refactor
#10 - Refactor ActionOptimizer class to define general interface for Planner class
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: refactor
#9 - Create Planner base class
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: refactor
#8 - Build the hindsight value function ops
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#7 - Build straight-line value function ops
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#6 - Sample a batch of trajectory scenarios via re-parameterization
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#5 - Add separate sub-parsers for online and offline tfplan script arguments and options
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#4 - Refactor online planner to avoid re-building the RNN dynamic unrolling ops each timestep
Issue -
State: closed - Opened by thiagopbueno over 5 years ago
Labels: enhancement
#3 - GPU vs CPU performance
Issue -
State: open - Opened by meneguzzi almost 6 years ago
- 1 comment
#2 - Issue with tf-plan
Issue -
State: closed - Opened by ramonpereira about 6 years ago
- 9 comments
#1 - Merge pull request #1 from thiagopbueno/master
Pull Request -
State: closed - Opened by songziya about 6 years ago