Alternatives and similar repositories for opiq

Users that are interested in opiq are comparing it to the libraries listed below

• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 4 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• bmazoure / sparseMuJoCo
  Sparse environment for MuJoCo suite (v2 and v3)
  ☆8Updated 5 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 5 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• jinnaiyuu / Optimal-Options-ICML-2019
  Code for generating options for planning and reinforcement learning
  ☆12Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 7 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆21Updated 2 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆23Updated 6 years ago
• wendelinboehmer / dcg
  ☆76Updated last year
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• johnlime / RlkitExtension
  Collection of reinforcement learning algorithms
  ☆16Updated 3 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆30Updated 5 years ago
• boschresearch / DD_OPG
  Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
  ☆11Updated 6 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 5 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• YuejiangLIU / prioritized_option_critic
  Implementation of the Prioritized Option-Critic on the Four-Rooms Environment
  ☆16Updated 7 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆93Updated 11 months ago