Mee321 / policy-distillationLinks
☆14Updated 5 years ago
Alternatives and similar repositories for policy-distillation
Users that are interested in policy-distillation are comparing it to the libraries listed below
Sorting:
- behavior cloning from observation☆36Updated 4 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆59Updated 4 years ago
- Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.☆16Updated 6 years ago
- ☆31Updated 4 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 9 months ago
- ☆54Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- ☆39Updated 3 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆88Updated last year
- ☆57Updated 2 years ago
- Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.☆30Updated 4 years ago
- PyTorch implementation of GAIL and PPO reinforcement learning algorithms☆25Updated 4 years ago
- RL Algorithms for Visual Continuous Control☆33Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated last month
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆73Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- Model-based Policy Gradients☆31Updated 5 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆26Updated last year
- ☆26Updated 2 years ago
- multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)☆11Updated 6 years ago
- My Body Is A Cage☆41Updated 4 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆48Updated 3 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- ☆48Updated 2 years ago