alexlioralexli / rllab-finetuningLinks
☆30Updated 2 years ago
Alternatives and similar repositories for rllab-finetuning
Users that are interested in rllab-finetuning are comparing it to the libraries listed below
Sorting:
- ☆114Updated 2 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆99Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆54Updated last year
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆47Updated 5 years ago
- ☆31Updated 6 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆68Updated 5 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 10 months ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 5 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- ☆52Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago