astooke / accel_rlLinks
Accelerated Methods for Deep Reinforcement Learning
☆49Updated 6 years ago
Alternatives and similar repositories for accel_rl
Users that are interested in accel_rl are comparing it to the libraries listed below
Sorting:
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Proximal Policy Option-Critic☆25Updated 6 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
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆47Updated 5 years ago
- ☆114Updated 2 years ago
- ☆99Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 4 years ago
- ☆54Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- ☆31Updated 6 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆80Updated 3 years ago