jimimvp / torch_rlLinks
Reinforcement learning library for PyTorch.
☆11Updated 7 years ago
Alternatives and similar repositories for torch_rl
Users that are interested in torch_rl are comparing it to the libraries listed below
Sorting:
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆46Updated 3 years ago
- Gym environments for Robots that learn to interact with the environment autonomously☆34Updated 3 years ago
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 4 years ago
- Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".☆45Updated 6 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning☆16Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Guided-Meta Policy Search☆39Updated 3 years ago
- From simulation to real world using deep generative models☆18Updated 7 years ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆34Updated 5 years ago
- ☆49Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 5 years ago
- A set of environments utilizing pybullet for simulation of robotic manipulation tasks.☆29Updated 4 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 7 years ago
- (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning☆20Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies☆18Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Generalised UDRL☆37Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 7 years ago
- The Official Implementation of Domain Adaptive Imitation Learning (DAIL)☆24Updated 5 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Code for Continual Learning of Control Primitives☆18Updated 5 years ago
- The PyBullet wrapper (Vat) for Neural Task Programming☆34Updated 7 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- ☆68Updated 4 years ago