evgenii-nikishin / rl_with_resetsLinks
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
☆101Updated 3 years ago
Alternatives and similar repositories for rl_with_resets
Users that are interested in rl_with_resets are comparing it to the libraries listed below
Sorting:
- ExORL: Exploratory Data for Offline Reinforcement Learning☆116Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆114Updated 2 years ago
- ☆54Updated last year
- ☆48Updated 2 years ago
- Simple maze environments using mujoco-py☆56Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Conservative Q learning in Jax☆55Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆91Updated 4 years ago
- Benchmarking RL generalization in an interpretable way.☆163Updated 3 months ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- ☆48Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- Deep Hierarchical Planning from Pixels☆107Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆147Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆81Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 8 months ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 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
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 7 months ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago