dibyaghosh / gcsl
Code for "Learning to Reach Goals via Iterated Supervised Learning"
☆76Updated 2 years ago
Alternatives and similar repositories for gcsl:
Users that are interested in gcsl are comparing it to the libraries listed below
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- ☆112Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆110Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆211Updated 9 months ago
- ☆53Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆104Updated 3 years ago
- ☆43Updated last year
- Simple maze environments using mujoco-py☆54Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated last month
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆63Updated 5 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- ☆46Updated 2 years ago
- Reinforcement Learning via Supervised Learning☆71Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆94Updated 2 years ago
- DMControl Generalization Benchmark☆167Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆84Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆158Updated 3 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆99Updated 9 months ago
- ☆48Updated last year
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- ☆42Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆174Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆89Updated 7 months ago