ajgupta93 / d3pg-pytorchLinks
Distributed DDPG implementation in pytorch
☆9Updated 6 years ago
Alternatives and similar repositories for d3pg-pytorch
Users that are interested in d3pg-pytorch are comparing it to the libraries listed below
Sorting:
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆35Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 4 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 3 years ago
- ☆25Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- ☆28Updated 7 years ago
- Code for the Reset-free Trial and Error learning paper (RTE) experiments☆10Updated 7 years ago
- ☆49Updated 5 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- ☆54Updated 7 years ago