Alternatives and similar repositories for rcdqn:

Users that are interested in rcdqn are comparing it to the libraries listed below

• princeton-nlp / XTX
  [ICLR 2022 Spotlight] Multi-Stage Episodic Control for Strategic Exploration in Text Games
  ☆14Updated 2 years ago
• rajammanabrolu / KG-A2C
  Goal driven language generation using knowledge graph A2C agents
  ☆60Updated 4 years ago
• vzhong / silg
  ☆20Updated 3 years ago
• microsoft / tdqn
  Template-DQN and DRRN agent implementations
  ☆22Updated last year
• JerichoWorld / JerichoWorld
  ☆32Updated 3 years ago
• xingdi-eric-yuan / GATA-public
  ☆35Updated 7 months ago
• jacobandreas / l3
  Learning with latent language
  ☆50Updated 3 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆32Updated last year
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆38Updated 3 years ago
• google-deepmind / emergent_communication_at_scale
  ☆36Updated 6 months ago
• rajammanabrolu / KG-DQN
  ☆82Updated 5 years ago
• LiubovSobolevskaya / tf2-a2c-ppo
  mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.
  ☆9Updated 4 years ago
• allenai / interscript
  The InterScript dataset contains interactive user feedback on scripts generated by a T5-XXL model.
  ☆11Updated 3 years ago
• dai-dao / Grounded-Language-Learning-in-Pytorch
  Implementation of Grounded Language Learning in a 3D Simulated World (DeepMind)
  ☆34Updated 7 years ago
• microsoft / nail_agent
  NAIL is an agent that plays text-based interactive fiction games.
  ☆45Updated last year
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 5 years ago
• princeton-nlp / blindfold-textgame
  [NAACL 2021] Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
  ☆12Updated 3 years ago
• nickleomartin / emergent_comm_rl
  Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…
  ☆12Updated 6 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆72Updated 5 years ago
• cognitiveailab / TextWorldExpress
  Super fast implementations of common benchmark text world games
  ☆45Updated 2 months ago
• xingdi-eric-yuan / qait_public
  Question Answering with Interactive Text (QAit), code for EMNLP 2019 paper "Interactive Language Learning by Question Answering"
  ☆44Updated 5 years ago
• frankaging / Reason-SCAN
  ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…
  ☆20Updated 3 years ago
• machelreid / can-wikipedia-help-offline-rl
  Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
  ☆102Updated 2 years ago
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 5 years ago
• microsoft / wmg_agent
  WMG agent
  ☆35Updated last year
• rizar / CLOSURE
  Systematic generalization test for CLEVR
  ☆15Updated 4 years ago
• LauraRuis / multimodal_seq2seq_gSCAN
  The multi-modal sequence to sequence baseline neural models used in the Grounded SCAN paper.
  ☆16Updated 3 years ago
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 4 years ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago