ciwang / policydistillationLinks
Reproducing Policy Distillation (DeepMind paper ICLR 2016)
☆22Updated 5 years ago
Alternatives and similar repositories for policydistillation
Users that are interested in policydistillation are comparing it to the libraries listed below
Sorting:
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- ☆76Updated last year
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- ☆61Updated 6 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- ☆44Updated 2 years ago
- ☆83Updated 6 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- ☆91Updated last year
- FEN Code☆37Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆26Updated 7 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- ☆29Updated 3 years ago
- ☆43Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago