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ExecutableWorld, designed to also work with BatchWorld #170
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| and not confitioned on the world at all (and it is thus the same as | ||
| MultiAgentDialogWorld). """ | ||
| if agent.id == act['id']: | ||
| return None |
| # All agents (might) observe the results. | ||
| for other_agent in self.agents: | ||
| obs = self.observe(other_agent, acts[index]) | ||
| if obs is not None: |
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if obs instead of you change None to {}, but either way is fine with me
| # The world has its own observe function, which the action | ||
| # first goes through (agents receive messages via the world, | ||
| # not from each other). | ||
| observation = w.observe(agents[index], validate(batch_actions[i])) |
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does this have a chance of returning None?
| self.batch_observe(other_index, batch_act)) | ||
| obs = self.batch_observe(other_index, batch_act, index) | ||
| if obs is not None: | ||
| batch_observations[other_index] = obs |
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I wonder if you need to override this always to make sure that you don't accidentally view a stale message? maybe better to fill it with {}
|
I just didn't want to break existing code that doesn't set anything. I think all models should be able to cope with an empty observation though, ideally. So, in a batch there could be empty ones. But right now we don't allow for that.. should I change it? |
|
we can follow up later with the empty table changes |
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* added MTurk update to NEWS.md * added more MTurk news * added more explanation for multi-assignment design * fix virtualenv path error * Fixed bug with vqa_v2 teacher's len (facebookresearch#164) * Change MTurk local db to be in-memory * remote agent fixes, switch model param to default None (facebookresearch#166) * remote fixes (facebookresearch#167) * Added Personalized Dialog dataset (facebookresearch#163) * Fixed bug on building fb data (facebookresearch#171) * ExecutableWorld, designed to also work with BatchWorld (facebookresearch#170) * small * exec world * small * blah * mm * index * index * index * small batch fixes * small batch fixes * Update NEWS.md * updates to the training loop / logging (facebookresearch#172) * add sigfig rounding and unit tests for utils (facebookresearch#173) * train fixes (facebookresearch#174) * fixes to train and dict (facebookresearch#177) * bug fixes in drqa (facebookresearch#176) * Add image feature extraction modules and fix minor bugs. (facebookresearch#169) * fix vqa_v1 and vqa_v2 testset image source. * add image_featurizer * add image_featurizers and examples. * update image_featurizers.py and dialog_teacher.py based on the discussion. * Fixes to ParsedRemoteAgent (facebookresearch#178) * Capitalize 'all' to 'All' to follow naming convention * Fixed missing img path and step size (facebookresearch#180) * Fixing bibtex citation (facebookresearch#186) Missing braces * Added from scratch section to task tutorial (facebookresearch#184) * vqa fixes (facebookresearch#183) * Lazy Torch requirement (facebookresearch#182) * fix a typo (facebookresearch#187) * Update README.md * Refactor MTurk html to make it more modular * Add shutdowns (facebookresearch#191) * Update run_tests_short.sh * add insuranceqa as a task (facebookresearch#193) * Save parameters of all agents through calling world.save() * Move print statement * Fix docstring * mturk improvement and cleanup * fixed path bug * Adding cmdline args to task agents as well * Make add_task_args a separate function * updating save functions (facebookresearch#195) * Added download resuming (facebookresearch#194) * Support multiple tasks * implemented send messages in bulk * added HIT auto-test script * better error message * fixed message duplication error and other issues * [MTurk] able to approve/reject work individually, block workers, and pay bonus; improved database status checking * [MTurk] fixed auto test bug * [MTurk] ignore abandoned HIT * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * world.save_agents fix (facebookresearch#198) * save agents fix * moar * Update eval_model.py * [MTurk] changed hit approval flow * [MTurk] added unique_request_token for send_bonus * fixed comment * Clean up dir only on version update (facebookresearch#197) * Update NEWS.md * Update README.md * group args when printing (facebookresearch#201) * Rehosted COCO-IMG to allow for resuming download (facebookresearch#202) * [MTurk] removed unnecessary wait * [WIP] trying to increase max concurrent polling operations * change poll test * [MTurk] moved to us-east-1 (N. Virginia) for higher Lambda max connections * turned off debug * [MTurk] fixed bugs * [MTurk] block_worker works * elapsed time * avg elapsed * [MTurk] clean up * [MTurk] added retry for ajax request * Modified task tutorial (facebookresearch#206) * Delete memnn_luatorch_cpu.rst * Update README.md * Update agents.py * fix test for init files to exclude mturk html dir (facebookresearch#203) * add task directory to mturk manager * fix wikimovies kb teacher (facebookresearch#207) * Default evaluation uses 'valid' datatype (facebookresearch#210) * Add MS MARCO dataset, and modify insuranceQA to accept version (V1 or V2) (facebookresearch#200) * Added retrying with exp backoff to downloads (facebookresearch#209) * added reason for reject_work(); added MTurkWorld as parent class * Update worlds.py * added opt to MTurkWorld.__init__ * better mturk cost checking * Fixed typo * Update agents.py * moved sync hit assignment info to a better place * Fixed dialog data shared cands bug (facebookresearch#212) * fix to acts indexing in batchworld (facebookresearch#215) * fix insuranceqa bug (facebookresearch#211) * Update NEWS.md * Update NEWS.md * Update NEWS.md * Update NEWS.md * minor comment and print statement fixes (facebookresearch#217) * update basic tutorial (facebookresearch#219) * Add TriviaQA task (facebookresearch#204) * Update NEWS.md * Tutorial for seq2seq agent, updated agent (facebookresearch#222) * Add start of sentence token to dict.py (facebookresearch#221) * minor comment and print statement fixes * add start of sentence token to dict.py * return original order of special tokens; change names of start and end tokens * quick eos fix * Update NEWS.md * Update NEWS.md * update seq2seq to use "END" like dictionary (facebookresearch#227) * add hred to parlai (facebookresearch#228) * Add placeholder agent for HRED model (facebookresearch#229) * added email_worker API * refactored init_aws * setting assignment duration * getting worker id earlier in time * hide implementation detail of conversation_id to discourage change * removed unnecessary create_hit_type_lock * Added CLEVR task (facebookresearch#233) * Exception to alert user of possible mistake when providing label and label candidate (facebookresearch#232) * better handling for email_worker error case * turn off keypress trigger if send button is disabled * added abandoned HIT handling * clean up * disabled approve/reject for abandoned HITs * added gating for pay_bonus * fixed pay bonus bug * fixed mturk agent act() and observe() bug * fixed bug * fixed submit HIT handling * remove quotes around model path (facebookresearch#239) The command line option doesn't require quotes, even if /tmp/model is a placeholder it's slightly misleading * readme, example, and test fixes (facebookresearch#234) * Update README.md * bug where wrong word embedding is zeroed (facebookresearch#242) word_dict['<NULL>'] returns the index for UNK rather than NULL and thus the wrong embedding is being zeroed * Update README.md * Added candidates to clevr (facebookresearch#243) * Allow newlines in FbDialog format by using '\n' in the text file messages (facebookresearch#246) * Simple task that just loads the specified FbDialogData file (facebookresearch#245) * fromfile task * again * comment * init py * fromfile task: add docstring (facebookresearch#247) * Fixed dialog_babi task 6 candidates (facebookresearch#248) * Added image args to parlai args (facebookresearch#249) * weak ranking system for seq2seq (facebookresearch#235) * Added MemNN agent (facebookresearch#251) * add references to msmarco and insuranceqa * update msmarco description * task list * Added clevr to task list and item on news (facebookresearch#259) * Update README.md * fixed error in json format (facebookresearch#262) * print() is a function in Python 3 (facebookresearch#256) * print() is a function in Python 3 (facebookresearch#255)
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A world where messages from agents can be interpreted as actions in the world which result in changes in the environment (are executed). Hence a grounded simulation can be implemented rather than just dialogue between agents.