takuseno / d4rl-pybullet
Datasets for data-driven deep reinforcement learning with PyBullet environments
☆143Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for d4rl-pybullet
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆107Updated 2 months ago
- impact-driven-exploration☆128Updated last year
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- ☆110Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆163Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆74Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- ☆116Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- ☆190Updated last year
- Revisiting Rainbow☆73Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆87Updated 3 months ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆67Updated last year
- Fast Flexible Replay Buffer Library (Mirror repository of https://gitlab.com/ymd_h/cpprb)☆72Updated 5 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆105Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆90Updated last year
- ☆97Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 2 years ago
- ☆85Updated 3 months ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆149Updated 4 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆76Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆49Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆90Updated 3 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆43Updated 4 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago